Meeting Title: Weekly-Sprint-Review Date: 2024-01-29 Meeting participants: Ryan Luke Daque, Uttam Kumaran
WEBVTT
1 00:00:08.540 ⇒ 00:00:09.550 Uttam Kumaran: Hey, Ryan?
2 00:00:09.990 ⇒ 00:00:14.890 Ryan Luke Daque: Hi, Otun! How’s it going? Hey? Good! How are you doing? Great! How was your weekend
3 00:00:15.560 ⇒ 00:00:32.959 Uttam Kumaran: weekend was good. It was like relaxing. I I just like bought some new plans for my apartment. And I. So yeah, I yeah, I just went to the gym. And yeah, I just watched watch some movies. That’s it.
4 00:00:33.230 ⇒ 00:00:37.240 Ryan Luke Daque: Wow, cool. At least he didn’t like for as much.
5 00:00:37.250 ⇒ 00:00:44.280 Uttam Kumaran: Yeah, II worked. I worked yesterday and I worked Saturday, but not a ton.
6 00:00:45.200 ⇒ 00:00:51.559 Ryan Luke Daque: That’s great. Where are you based? By the way, I’m in, I’m in Texas. Oh, in Texas. Cool.
7 00:00:51.710 ⇒ 00:00:54.800 Uttam Kumaran: Yeah, I’m in Austin, Texas.
8 00:00:56.000 ⇒ 00:00:59.370 Uttam Kumaran: Yep, it’s a little bit cold right now, but it’s
9 00:00:59.390 ⇒ 00:01:06.849 Uttam Kumaran: it’s nice and sunny in the mornings, and so my! My apartment gets a lot of light, so it’s nice to have plans and stuff like that.
10 00:01:07.380 ⇒ 00:01:09.660 Ryan Luke Daque: Yeah. that’s nice.
11 00:01:10.870 ⇒ 00:01:12.019 Uttam Kumaran: What about you?
12 00:01:12.850 ⇒ 00:01:20.260 Ryan Luke Daque: Well, weekend was okay. We was pretty much a lazy weekend. Well, Saturday we went to.
13 00:01:20.270 ⇒ 00:01:28.750 Ryan Luke Daque: when shocking cause, like like my eldest son, had a growth spurt, and, like all his spans, don’t fit him any more. So we had to like.
14 00:01:28.820 ⇒ 00:01:32.530 Uttam Kumaran: buy him some new pants. Yeah.
15 00:01:33.030 ⇒ 00:01:34.340 nice.
16 00:01:34.360 ⇒ 00:01:40.180 Ryan Luke Daque: But other than that, yeah, we just stayed home. Watched movies. Similar. Yeah, like.
17 00:01:41.630 ⇒ 00:01:48.990 Uttam Kumaran: just just like, just about that nice? Yeah, it’s kind of a chill weekend for me, too. I I’m glad like I
18 00:01:49.520 ⇒ 00:01:57.110 Uttam Kumaran: I don’t know like I after I moved from, I’m so I moved from New York. I moved from New York here to Austin
19 00:01:57.230 ⇒ 00:02:16.269 Uttam Kumaran: and in New York. It’s like always really fast paced and like spending a lot of time at bars and like a ton of people. So my life now is a lot more calmer, which is nice, like I’m I miss it like I don’t know how big taboo is, or if you ever lived in like a huge city. But II miss it.
20 00:02:16.280 ⇒ 00:02:18.369 Uttam Kumaran: But then I also like, really
21 00:02:18.730 ⇒ 00:02:31.669 Uttam Kumaran: appreciate, like not drinking all the time, and not like ha! Being sleep deprived every day. My health. I feel very, very good, and like, I’m going to the gym a lot. And so, yeah.
22 00:02:31.730 ⇒ 00:02:48.319 Ryan Luke Daque: yeah, that’s great. Yeah, Cebu’s pretty small. But yeah, there’s I guess when you’re younger, I guess. Like after graduating college and stuff, you feel like, still, keep on drinking and stuff. It’s it’s normal. Yeah, that’s true. Yeah, I think it’s just like.
23 00:02:48.530 ⇒ 00:02:57.680 Uttam Kumaran: you know. You want to find like II just you know it. That gets boring after a while, and instead for me, I’m I’m more interested in just having good friends and
24 00:02:57.770 ⇒ 00:03:04.919 Ryan Luke Daque: good conversation. And I want to travel a lot more this year. So kind of just saving money to try to do that
25 00:03:05.010 ⇒ 00:03:06.820 Ryan Luke Daque: nice. Yeah.
26 00:03:06.960 ⇒ 00:03:07.930 Ryan Luke Daque: that’s cool.
27 00:03:09.890 ⇒ 00:03:14.560 Uttam Kumaran: Cool, so we can get started. Do you wanna drive?
28 00:03:14.720 ⇒ 00:03:18.160 Yeah. Sure. Let me share my screen.
29 00:03:23.290 ⇒ 00:03:25.229 Ryan Luke Daque: Okay, can you see my screen.
30 00:03:25.590 ⇒ 00:03:26.540 Uttam Kumaran: Yes.
31 00:03:28.160 ⇒ 00:03:29.160 Ryan Luke Daque: So
32 00:03:31.840 ⇒ 00:03:36.300 Ryan Luke Daque: yeah, I guess let’s start with the the things that we did last week.
33 00:03:36.600 ⇒ 00:03:38.909 Ryan Luke Daque: So they did clear out
34 00:03:39.370 ⇒ 00:03:47.390 Ryan Luke Daque: most of the validation issues in like dash, except for those like private ones which I can’t access to.
35 00:03:47.410 ⇒ 00:03:49.430 Uttam Kumaran: Okay. And then
36 00:03:49.560 ⇒ 00:03:59.009 Uttam Kumaran: let me. So let me one. Let me give you access to make sure you have access to everything. The other thing was, there are some there are some
37 00:03:59.230 ⇒ 00:04:00.849 Uttam Kumaran: validation issues up.
38 00:04:01.930 ⇒ 00:04:05.860 Uttam Kumaran: I wasn’t able to get rid of, and I actually sent a note
39 00:04:06.220 ⇒ 00:04:08.360 Uttam Kumaran: to
40 00:04:08.870 ⇒ 00:04:15.640 Uttam Kumaran: I sent a note to light dash team. So let me just put let me just put a thing here.
41 00:04:16.990 ⇒ 00:04:25.839 Ryan Luke Daque: Yeah, like this one says, your year your sales tracking is broken. But if you look at year yeah, I didn’t notice that, too.
42 00:04:26.660 ⇒ 00:04:30.730 Ryan Luke Daque: It’s it’s it’s fine for some reason. See.
43 00:04:31.140 ⇒ 00:04:43.860 Ryan Luke Daque: we don’t see any errors, even if we like. Run the SQL. Query here doesn’t have any errors, but still like showing us an error here in the validation. So yes.
44 00:04:44.010 ⇒ 00:04:47.870 Uttam Kumaran: exactly so. So they created an issue on their end.
45 00:04:51.020 ⇒ 00:05:00.240 Uttam Kumaran: and I’m going to just create a block ticket that’s
46 00:05:00.550 ⇒ 00:05:01.840 Uttam Kumaran: related to that.
47 00:05:02.870 ⇒ 00:05:04.550 Uttam Kumaran: And
48 00:05:06.140 ⇒ 00:05:08.310 Uttam Kumaran: I’m going to also
49 00:05:10.550 ⇒ 00:05:12.120 Uttam Kumaran: subscribe.
50 00:05:39.870 ⇒ 00:05:42.349 Uttam Kumaran: Okay, cool. So
51 00:05:42.810 ⇒ 00:05:45.049 Uttam Kumaran: I’ve created a block ticket for that.
52 00:05:46.200 ⇒ 00:05:47.590 Let’s
53 00:05:47.930 ⇒ 00:05:51.860 Uttam Kumaran: so that’s okay. That makes sense. This is good move to the done.
54 00:05:52.480 ⇒ 00:05:53.580 Ryan Luke Daque: Nice.
55 00:05:54.170 ⇒ 00:05:55.650 Ryan Luke Daque: It is strange.
56 00:05:55.720 ⇒ 00:06:05.049 Ryan Luke Daque: Yeah, the estimated shipping cost. So yeah, like I mentioned before, I already removed the the the bracket like the the tiers.
57 00:06:05.370 ⇒ 00:06:11.010 Ryan Luke Daque: And that summed up to the same. Okay, average
58 00:06:11.020 ⇒ 00:06:14.020 Ryan Luke Daque: estimated versus the actual. So that’s good.
59 00:06:14.690 ⇒ 00:06:20.460 Ryan Luke Daque: cool. Next, we did refunds. Now, yeah, this was just in
60 00:06:20.970 ⇒ 00:06:32.230 Ryan Luke Daque: removing the changing the filter from greater than 0 to like, not equal to 0. It’s it’s showing negative in Amazon refunds.
61 00:06:33.050 ⇒ 00:06:34.630 Ryan Luke Daque: Yeah.
62 00:06:35.870 ⇒ 00:06:37.469 Ryan Luke Daque: So this should be good. Now.
63 00:06:38.070 ⇒ 00:06:38.880 Uttam Kumaran: okay.
64 00:06:39.580 ⇒ 00:06:41.669 Ryan Luke Daque: so I created.
65 00:06:42.780 ⇒ 00:06:44.500 Ryan Luke Daque: oh, yeah, this one.
66 00:06:46.020 ⇒ 00:06:55.290 Ryan Luke Daque: the customer attribution table. I was able to create the shopify customers table and this shopify attribution table. But
67 00:06:56.370 ⇒ 00:07:06.609 Ryan Luke Daque: But when you said like, here in first customer attribution, were you referring to like the first? No, I was just saying I was just saying the first like, first for us. Yeah, I see.
68 00:07:06.690 ⇒ 00:07:14.139 Ryan Luke Daque: You see, II didn’t know this like in the customer solution customer. Was it shoppy? 5 visits or something where it’s
69 00:07:15.270 ⇒ 00:07:17.679 Ryan Luke Daque: It showed either it’s the first
70 00:07:17.890 ⇒ 00:07:20.909 Ryan Luke Daque: touch or last touch like, right?
71 00:07:21.180 ⇒ 00:07:31.919 Ryan Luke Daque: So currently the the model that I created was It’s either first or last. It didn’t matter as long as it was attributed to whatever the yeah, URL said
72 00:07:32.260 ⇒ 00:07:33.720 Ryan Luke Daque: in the customer.
73 00:07:33.940 ⇒ 00:07:35.529 Ryan Luke Daque: okay, is it stable?
74 00:07:35.950 ⇒ 00:07:39.840 Ryan Luke Daque: So yeah, you should be able to see it in in in the, in this model
75 00:07:40.260 ⇒ 00:07:43.920 Uttam Kumaran: and the shopify customers. I actually utilize
76 00:07:44.300 ⇒ 00:07:52.290 Ryan Luke Daque: the 5 trend model because they already have shoppy. 5 customers with all the aggregates like the first order, date
77 00:07:52.370 ⇒ 00:07:59.080 Ryan Luke Daque: most recent over, and stuff like that. So yeah, that should be good. And it even includes more columns, snow, that
78 00:07:59.380 ⇒ 00:08:04.240 Uttam Kumaran: I just include it all. And we can like remove things that we’re not gonna be using.
79 00:08:04.660 ⇒ 00:08:06.989 Ryan Luke Daque: Okay in the future. See? You?
80 00:08:09.340 ⇒ 00:08:11.220 Ryan Luke Daque: Yep. Aside from that.
81 00:08:11.520 ⇒ 00:08:14.400 Ryan Luke Daque: oh, yeah, you you you mentioned something earlier.
82 00:08:14.480 ⇒ 00:08:18.230 Uttam Kumaran: Yeah, I was gonna say, is that is that in light dash
83 00:08:19.240 ⇒ 00:08:22.540 Ryan Luke Daque: no, it’s using the the the modes model.
84 00:08:23.240 ⇒ 00:08:27.490 Ryan Luke Daque: I wonder if we should create
85 00:08:29.070 ⇒ 00:08:36.930 Uttam Kumaran: I guess. So I guess 2 things, one we should maybe do this via join. So light Dash has a concept of joins.
86 00:08:37.260 ⇒ 00:08:42.740 Ryan Luke Daque: And so the benefit of that is like we can do that. We can keep these 2 models.
87 00:08:42.820 ⇒ 00:08:49.569 Uttam Kumaran: but then have a join, so that if you select a metric from this other model, the join happens in light dash
88 00:08:49.750 ⇒ 00:08:50.890 Uttam Kumaran: on the fly.
89 00:08:51.080 ⇒ 00:08:52.360 Ryan Luke Daque: Interesting.
90 00:08:53.090 ⇒ 00:08:59.320 Uttam Kumaran: So I wonder whether it’s best to maybe create one shopify customers
91 00:08:59.850 ⇒ 00:09:05.539 Uttam Kumaran: model. and then, second, is join shopify customers.
92 00:09:06.660 ⇒ 00:09:12.930 Uttam Kumaran: or or it’s like, Yeah, join shopify customers.
93 00:09:14.720 ⇒ 00:09:18.270 Uttam Kumaran: To all orders in white dash.
94 00:09:19.950 ⇒ 00:09:20.900 Ryan Luke Daque: Hmm!
95 00:09:21.050 ⇒ 00:09:23.270 Uttam Kumaran: So, Chris. So you see, what I’m saying
96 00:09:24.630 ⇒ 00:09:33.169 Ryan Luke Daque: is, is that? So that’s going to be the llamo file, you mean, like, in the yeah. So if you just if you just Google, search for light dash
97 00:09:34.020 ⇒ 00:09:37.120 Uttam Kumaran: Google, searchers like Dash joined.
98 00:09:38.200 ⇒ 00:09:39.960 Uttam Kumaran: And if you click the top one.
99 00:09:41.570 ⇒ 00:09:45.400 Ryan Luke Daque: I see. Yeah, you know what I mean. Okay.
100 00:09:46.400 ⇒ 00:09:50.510 Uttam Kumaran: so this way, we don’t need to widen all orders.
101 00:09:52.180 ⇒ 00:09:57.770 Uttam Kumaran: The actual sequel table. We can just have these things join on the fly.
102 00:09:58.210 ⇒ 00:09:59.690 Ryan Luke Daque: I see. Yeah, that
103 00:09:59.770 ⇒ 00:10:01.719 makes sense. Actually.
104 00:10:01.740 ⇒ 00:10:04.950 Uttam Kumaran: So maybe if you want to create
105 00:10:06.120 ⇒ 00:10:11.259 Uttam Kumaran: I guess if you want to, maybe you want to create an addition, maybe we can create an additional ticket
106 00:10:11.470 ⇒ 00:10:14.209 Ryan Luke Daque: regarding this work.
107 00:10:14.930 ⇒ 00:10:19.670 Uttam Kumaran: Or if you want to create it under the same ticket, let me know. Actually, maybe we could do a new ticket.
108 00:10:19.970 ⇒ 00:10:22.400 Ryan Luke Daque: Yeah, let’s let’s do a new ticket.
109 00:10:23.470 ⇒ 00:10:26.509 Uttam Kumaran: Let’s do a new ticket called
110 00:10:27.910 ⇒ 00:10:30.470 Uttam Kumaran: maybe we can call it like
111 00:10:31.500 ⇒ 00:10:36.440 Uttam Kumaran: join like shopify customers, light dash model.
112 00:10:36.640 ⇒ 00:10:40.190 Uttam Kumaran: plus join to all orders.
113 00:10:41.950 ⇒ 00:10:50.620 Uttam Kumaran: and then in the ticket, if you just want to note down the first thing which is
114 00:10:50.750 ⇒ 00:10:53.670 Uttam Kumaran: just you could create
115 00:10:54.350 ⇒ 00:10:59.259 Uttam Kumaran: you can create the a light dash
116 00:10:59.410 ⇒ 00:11:05.420 Uttam Kumaran: customers model that joins all of the cost, shopify customers, tables.
117 00:11:14.780 ⇒ 00:11:15.980 Uttam Kumaran: And then.
118 00:11:17.950 ⇒ 00:11:24.220 Uttam Kumaran: if you actually want to call it shopify customers that way, we just don’t get it mixed up because there’s no other customers there at the moment.
119 00:11:29.110 ⇒ 00:11:34.539 Uttam Kumaran: And then the second, yeah. And then the second thing is, just join. Make sure that gets joined to the All orders table
120 00:11:36.170 ⇒ 00:11:46.829 Uttam Kumaran: like one or more of those of those. yeah, like one or more of those models. I just wanna bring in that shopify customer data. Oh, also, not only to
121 00:11:47.180 ⇒ 00:11:54.159 Uttam Kumaran: actually, maybe we shouldn’t bring it into all orders. We should bring it into shopify orders only right?
122 00:11:56.040 ⇒ 00:11:57.480 And then say it again.
123 00:11:57.510 ⇒ 00:12:00.729 Uttam Kumaran: Maybe we should only bring it into shopify orders.
124 00:12:01.200 ⇒ 00:12:04.449 Ryan Luke Daque: Oh, yeah, right? Right.
125 00:12:04.580 ⇒ 00:12:07.490 Ryan Luke Daque: unless it’s all orders. But just
126 00:12:08.210 ⇒ 00:12:11.520 Uttam Kumaran: the thing is for everything else.
127 00:12:11.780 ⇒ 00:12:13.779 Ryan Luke Daque: Yeah, yeah, okay.
128 00:12:16.190 ⇒ 00:12:21.100 Uttam Kumaran: So until we can get at least Amazon, let’s just do that. Gotcha.
129 00:12:29.050 ⇒ 00:12:31.930 Ryan Luke Daque: Yeah, I can work on that for this week.
130 00:12:41.590 ⇒ 00:12:43.060 Uttam Kumaran: Okay? Great
131 00:12:44.420 ⇒ 00:12:52.720 Uttam Kumaran: so that’s great. Let’s look at so you said Refund not showing in daily. So that’s
132 00:12:53.240 ⇒ 00:12:56.730 Uttam Kumaran: let’s go to that one that’s on the that’s on the left.
133 00:12:58.710 ⇒ 00:12:59.490 Ryan Luke Daque: right?
134 00:12:59.770 ⇒ 00:13:02.160 Uttam Kumaran: So are you. You’re already working on this one.
135 00:13:03.050 ⇒ 00:13:13.880 Ryan Luke Daque: Yeah. So basically, I’ll just change. Change the aggregate for the refund to to the refund date, instead of the only date for the daily, weekly, and monthly models
136 00:13:14.330 ⇒ 00:13:16.890 Uttam Kumaran: show the refund
137 00:13:17.690 ⇒ 00:13:21.540 Ryan Luke Daque: refunds for the based on the refund date instead.
138 00:13:22.030 ⇒ 00:13:36.560 Uttam Kumaran: Okay, that’s perfect. I would say, this is probably the highest priority. Just because this is like a data accuracy thing. Okay? So yeah, maybe we could work on that first.
139 00:13:37.150 ⇒ 00:13:41.519 Uttam Kumaran: I think that’s honestly, that’s probably fine. I think you’re already, since you’re already working on. It’s okay.
140 00:13:41.800 ⇒ 00:13:43.140 Ryan Luke Daque: Yeah.
141 00:13:43.150 ⇒ 00:13:46.560 the other thing is. So let’s yeah, we could just go from the top here.
142 00:13:47.060 ⇒ 00:13:56.490 Uttam Kumaran: So one is, yeah. So if you go to top one, so I have to get it. So they, the team is using a new shipping partner called Unis.
143 00:13:56.620 ⇒ 00:13:59.689 Ryan Luke Daque: You can consider it similar to Fedex or
144 00:13:59.750 ⇒ 00:14:13.130 Uttam Kumaran: you or Ups. So I have to get in touch with them and then understand how to get the data from them. So that’s what I’m gonna do today is like email them and get understanding of that.
145 00:14:13.550 ⇒ 00:14:22.640 Uttam Kumaran: That’s this ticket. the second thing is Amazon fees. So if you click on that link.
146 00:14:23.220 ⇒ 00:14:24.479 Uttam Kumaran: there is a
147 00:14:24.990 ⇒ 00:14:35.589 Uttam Kumaran: there’s still a part where we’re getting fees from this Amazon historical orders. Table. as you know, Amazon historical orders is
148 00:14:36.390 ⇒ 00:14:39.049 Uttam Kumaran: Amazon. Historical orders is
149 00:14:40.600 ⇒ 00:14:42.130 Uttam Kumaran: is a
150 00:14:42.180 ⇒ 00:14:50.809 Uttam Kumaran: the 5 file that we’re bringing that we have coming in. So I go in and download this manually. This is the last annual piece for Amazon that I wanna remove.
151 00:14:51.120 ⇒ 00:14:52.070 Ryan Luke Daque: Okay.
152 00:14:55.310 ⇒ 00:14:56.530 Uttam Kumaran: so
153 00:15:01.790 ⇒ 00:15:07.760 Uttam Kumaran: I just want to be able to replace this with all that with data coming from 5 Tran.
154 00:15:08.240 ⇒ 00:15:18.329 Uttam Kumaran: And also I want you to handle this because it requires some like understanding of the 5 train Amazon schema. And II think we can maybe work together. I can show you where all that information is
155 00:15:18.490 ⇒ 00:15:24.400 Ryan Luke Daque: okay. That way, you have the knowledge as well. Yeah, that’s that. That’d be great.
156 00:15:24.470 ⇒ 00:15:26.129 Uttam Kumaran: Okay, I’ll have to.
157 00:15:27.410 ⇒ 00:15:30.720 Ryan Luke Daque: So you’re referring to this part right?
158 00:15:32.750 ⇒ 00:15:37.719 Ryan Luke Daque: wait. This is the Otto you have like a link to the Amazon sheet.
159 00:15:37.760 ⇒ 00:15:40.180 Uttam Kumaran: Yeah. So I
160 00:15:40.960 ⇒ 00:15:43.580 I yeah. So it’s
161 00:15:44.310 ⇒ 00:15:46.280 Uttam Kumaran: Where is it coming from?
162 00:15:47.500 ⇒ 00:15:48.990 Uttam Kumaran: Oh, it’s like.
163 00:15:51.240 ⇒ 00:15:54.159 Uttam Kumaran: if you open, you know the the data models, Google sheet
164 00:15:58.480 ⇒ 00:16:01.709 Uttam Kumaran: the pool parts to go Google sheet models. Yeah, you already have it open.
165 00:16:02.940 ⇒ 00:16:03.630 Ryan Luke Daque: So
166 00:16:03.940 ⇒ 00:16:08.420 Uttam Kumaran: yeah, if you go to, there’s a there’s a a sheet called Amazon.
167 00:16:08.680 ⇒ 00:16:09.620 Ryan Luke Daque: Alright. So
168 00:16:11.370 ⇒ 00:16:15.090 Ryan Luke Daque: gotcha. yeah, it’s even loading. Quite.
169 00:16:15.950 ⇒ 00:16:20.639 Ryan Luke Daque: Yeah. So this I’m bringing in from Amazon, actually, manually.
170 00:16:21.200 ⇒ 00:16:30.190 Uttam Kumaran: previously bringing in refunds. But now we have refunds coming in from 5 tram. But the fees are still coming in from here.
171 00:16:30.470 ⇒ 00:16:36.649 Ryan Luke Daque: Gotcha. So basically that you’re just filtering the type service fee. I guess. Yeah.
172 00:16:39.450 ⇒ 00:16:47.019 Uttam Kumaran: So I’m I’m actually just Amazon. Historical orders has those service fees mapped to a measure.
173 00:16:47.350 ⇒ 00:16:49.670 Ryan Luke Daque: And if you if you go all the way to the right here.
174 00:16:51.400 ⇒ 00:16:54.679 Uttam Kumaran: like, yeah, you’ll see the fees. Yeah, there it is.
175 00:16:56.770 ⇒ 00:17:01.980 Ryan Luke Daque: Okay. I’ll try to look for this in the 5 grand models
176 00:17:02.300 ⇒ 00:17:05.050 Ryan Luke Daque: or like tables and see where we can find this.
177 00:17:05.230 ⇒ 00:17:06.089 Uttam Kumaran: Okay.
178 00:17:08.220 ⇒ 00:17:12.770 Uttam Kumaran: yeah, this one, I would say. message me while you’re working on it.
179 00:17:12.890 ⇒ 00:17:18.230 Uttam Kumaran: The 5 tram schema is like really complicated. II can give you the context
180 00:17:18.460 ⇒ 00:17:20.470 Ryan Luke Daque: gotcha landscape
181 00:17:21.650 ⇒ 00:17:25.080 Uttam Kumaran: because I this is what I was working with them on for like last 2 weeks. So
182 00:17:26.210 ⇒ 00:17:37.269 Ryan Luke Daque: which one between the customer like dash shopify customers and this which one would be like a higher priority. Right? So actually, I actually think, let’s do that at the end.
183 00:17:37.430 ⇒ 00:17:45.900 Uttam Kumaran: Cause I wanna just go through all of the additional ones that we can talk about. We could talk about how much we can take on this week.
184 00:17:48.730 ⇒ 00:17:53.039 Ryan Luke Daque: Cool. Do you wanna move that back to the backlog. Okay?
185 00:17:53.230 ⇒ 00:17:55.629 Uttam Kumaran: Data infra cost.
186 00:17:55.680 ⇒ 00:18:02.030 Uttam Kumaran: That’s on me, I honestly think, can you just move this to needs? Let’s just leave this at the bottom of the backlog.
187 00:18:02.530 ⇒ 00:18:03.280 Ryan Luke Daque: Okay.
188 00:18:08.420 ⇒ 00:18:12.389 Ryan Luke Daque: next, we have the clean up all the shooting dimensions.
189 00:18:16.760 ⇒ 00:18:21.989 Yeah, let’s move this to the bottom. I mean, it’s just not a priority. So
190 00:18:22.780 ⇒ 00:18:27.580 Uttam Kumaran: so at some point create. So this is this is another big one.
191 00:18:29.020 ⇒ 00:18:32.350 Uttam Kumaran: So I actually, if you’re able to
192 00:18:32.800 ⇒ 00:18:37.269 maybe if you get time today to to watch that
193 00:18:37.640 ⇒ 00:18:38.800 Ryan Luke Daque: recording.
194 00:18:38.870 ⇒ 00:18:47.010 Uttam Kumaran: Yeah, you’ll see. We just had a good discussion about refunds and discounts. How? So? It’s not so th the main 2 areas.
195 00:18:47.210 ⇒ 00:18:56.399 Uttam Kumaran: The main 3 areas where they lose money is shipping, marketing and refunds and discounts
196 00:18:56.590 ⇒ 00:18:57.710 Ryan Luke Daque: Gotcha.
197 00:18:59.190 ⇒ 00:19:06.960 Ryan Luke Daque: And they want to understand more about like the refunds like, why, yeah. So we’ve done a good job. We’ve done a good job in in the daily vital signs
198 00:19:07.390 ⇒ 00:19:20.040 Uttam Kumaran: of showing the recent refunds and discounts. But this is just the solution. So we noticed that refunds and discounts are huge right now. So I want to create a new dashboard that just highlights
199 00:19:20.090 ⇒ 00:19:28.840 Uttam Kumaran: a ton of information about that similar to shipping efficiency except for a refunds and discount. So all of those different views, things like that
200 00:19:30.160 ⇒ 00:19:31.220 Ryan Luke Daque: sounds good.
201 00:19:33.390 ⇒ 00:19:35.860 Ryan Luke Daque: So this is one thing.
202 00:19:39.510 ⇒ 00:19:46.500 Uttam Kumaran: The second thing is create links to shipping efficiency. This is just creating a markdown.
203 00:19:47.820 ⇒ 00:20:02.669 Uttam Kumaran: if you actually want to click edit. Sorry, maybe didn’t add enough. If you want to just click like, yeah, under that, just create Markdown tile within vital signs, like, I just want to actually have the links to those dashboards just right within the dashboard. You see what I mean.
204 00:20:04.440 ⇒ 00:20:07.179 Ryan Luke Daque: gotcha. I guess. Somewhere.
205 00:20:08.340 ⇒ 00:20:13.689 Uttam Kumaran: Yeah. Like, maybe at the top or in each near each section or something.
206 00:20:14.640 ⇒ 00:20:19.359 Ryan Luke Daque: Yeah. this may be a time for the links, I guess.
207 00:20:20.460 ⇒ 00:20:21.260 Ryan Luke Daque: Okay.
208 00:20:22.260 ⇒ 00:20:25.950 Uttam Kumaran: so that’s, you know, really, tiny one,
209 00:20:28.420 ⇒ 00:20:30.970 Uttam Kumaran: and then if we want to go to the next one.
210 00:20:32.540 ⇒ 00:20:36.359 Uttam Kumaran: Model. Zen. So I’m getting
211 00:20:36.680 ⇒ 00:20:38.810 Uttam Kumaran: Api access to Zendesk.
212 00:20:38.830 ⇒ 00:20:41.049 Uttam Kumaran: Have you used before
213 00:20:41.540 ⇒ 00:20:50.100 Ryan Luke Daque: like a ticketing system? Oh, yeah, I haven’t used this yet.
214 00:20:51.000 ⇒ 00:20:53.199 Ryan Luke Daque: It’s like Jira, I guess, or something.
215 00:20:54.680 ⇒ 00:21:00.210 Uttam Kumaran: no, it’s it’s like a it’s like a customer service ticket system.
216 00:21:00.370 ⇒ 00:21:01.440 Ryan Luke Daque: I see.
217 00:21:01.760 ⇒ 00:21:13.319 Uttam Kumaran: So the the client they use send us to kind of get. So this is really tied into refunds and discounts. If someone says, Hey, my, the machine I got is broken.
218 00:21:13.430 ⇒ 00:21:24.460 Ryan Luke Daque: Hmm! All that conversation happens in Zendesk Gotcha. That’s where the information about the reasoning, what happened. Things like that. So this is like something I want to do on the back of
219 00:21:24.650 ⇒ 00:21:27.110 Uttam Kumaran: the refund and discounts data.
220 00:21:27.390 ⇒ 00:21:28.220 Ryan Luke Daque: Yeah.
221 00:21:30.980 ⇒ 00:21:31.860 Ryan Luke Daque: okay.
222 00:21:32.760 ⇒ 00:21:39.490 Ryan Luke Daque: do we already? So so we don’t have this in snowflake yet. Right?
223 00:21:39.630 ⇒ 00:21:43.599 Uttam Kumaran: I think it would be great if maybe we can move this to blocked.
224 00:21:45.130 ⇒ 00:21:56.340 Uttam Kumaran: And then this is kind of based on me getting that information. You can maybe put in the title like waiting on
225 00:21:57.300 ⇒ 00:21:58.580 Uttam Kumaran: Api Key.
226 00:22:00.380 ⇒ 00:22:01.529 Ryan Luke Daque: And that’s your
227 00:22:01.930 ⇒ 00:22:07.480 Ryan Luke Daque: what’s your plan after, like, once you get the Api key. Are you like, gonna create your own?
228 00:22:07.660 ⇒ 00:22:10.819 Uttam Kumaran: No. So it’s it’s gonna be. It’s all gonna come through. 5 tram.
229 00:22:11.010 ⇒ 00:22:16.490 Ryan Luke Daque: I see. And 5, 10 needs the Api key. Correct. Yeah, nice.
230 00:22:17.460 ⇒ 00:22:22.289 Ryan Luke Daque: At least like 5, 10 also has to send this.
231 00:22:24.260 ⇒ 00:22:25.210 Uttam Kumaran: yep.
232 00:22:28.740 ⇒ 00:22:29.570 Ryan Luke Daque: okay.
233 00:22:31.070 ⇒ 00:22:34.149 Uttam Kumaran: okay. I think that is states.
234 00:22:35.720 ⇒ 00:22:44.570 Uttam Kumaran: So I think overall, the priorities are the refund not showing in daily the and the shopify customers?
235 00:22:45.850 ⇒ 00:22:49.690 Uttam Kumaran: And can the refunds and discounts dashboard and the fees?
236 00:22:51.320 ⇒ 00:22:55.770 Uttam Kumaran: So I wonder if that’s like we can tackle all this
237 00:22:55.800 ⇒ 00:22:59.599 Uttam Kumaran: this week if you also want to bring in the email intro for Unis.
238 00:23:02.580 ⇒ 00:23:10.769 Uttam Kumaran: Yeah, maybe if you want to bring in both these top 2 ones. I think we can get it all done. The yeah, that one. And then the email, the email intro.
239 00:23:12.050 ⇒ 00:23:15.059 Uttam Kumaran: and you can move the data infra back to backlog.
240 00:23:17.840 ⇒ 00:23:19.399 Ryan Luke Daque: Where’s that again?
241 00:23:19.980 ⇒ 00:23:21.170 Uttam Kumaran: The fifth one.
242 00:23:26.350 ⇒ 00:23:30.900 Uttam Kumaran: cool. I think
243 00:23:31.420 ⇒ 00:23:34.030 Uttam Kumaran: this is it?
244 00:23:34.200 ⇒ 00:23:35.939 Ryan Luke Daque: Yeah. Let’s see.
245 00:23:37.140 ⇒ 00:23:42.510 Ryan Luke Daque: We’ll try our best to like finish this this week. But
246 00:23:43.250 ⇒ 00:23:46.239 Uttam Kumaran: well, let’s let’s do this. Let’s
247 00:23:50.580 ⇒ 00:23:56.829 Uttam Kumaran: I think the refunds not showing in daily. Seems like we can get done.
248 00:23:57.320 ⇒ 00:24:09.259 Uttam Kumaran: So maybe even might be a quick one. So yeah, I think, yeah, that should be fine. Yeah, hopefully, if we can get both of those top 2 done today, the rest of lawn.
249 00:24:09.320 ⇒ 00:24:13.610 those 2, and the refunds and discounts is where I want to spend a ton of time.
250 00:24:13.750 ⇒ 00:24:21.330 Uttam Kumaran: I actually don’t think the Amazon fees is, gonna take a lot of time. It’s just gonna take some time between us for me to give you that knowledge on where the data is.
251 00:24:21.610 ⇒ 00:24:22.660 Ryan Luke Daque: Gotcha.
252 00:24:22.690 ⇒ 00:24:23.910 Uttam Kumaran: yeah.
253 00:24:24.330 ⇒ 00:24:25.770 Ryan Luke Daque: yeah, sounds good.
254 00:24:27.130 ⇒ 00:24:28.070 Uttam Kumaran: Okay?
255 00:24:28.550 ⇒ 00:24:39.050 Uttam Kumaran: So let’s aim for let’s aim for that. So I would say, overall again on the project, anything related to data, accuracy is number one.
256 00:24:39.310 ⇒ 00:24:50.240 Uttam Kumaran: anything where data is not accurate that takes on precedence over everything. So just to kind of give you that context, and then
257 00:24:50.470 ⇒ 00:24:55.840 and then everything else is like, I just want to be able to show off all of the work that we’ve been doing, you know. So
258 00:24:56.780 ⇒ 00:24:57.720 Ryan Luke Daque: nice.
259 00:25:00.150 ⇒ 00:25:06.530 Uttam Kumaran: Okay, great. Well, if you if you have some time now, if you wanna discuss my message.
260 00:25:06.770 ⇒ 00:25:09.589 Ryan Luke Daque: Oh, yeah, sure we can. We can discuss.
261 00:25:10.530 ⇒ 00:25:12.749 Uttam Kumaran: Yeah. So let me know.
262 00:25:12.770 ⇒ 00:25:15.740 Uttam Kumaran: what you thought again. I
263 00:25:16.120 ⇒ 00:25:29.599 Uttam Kumaran: I would like love to keep working, and I definitely want to bring you on in a larger capacity, especially now that I’m like, I think I’m very confident that you can handle much of them
264 00:25:29.740 ⇒ 00:25:34.809 Uttam Kumaran: development work related to this project. And for me.
265 00:25:34.920 ⇒ 00:25:41.480 Uttam Kumaran: my job is to go get us more work. So that’s really the
266 00:25:41.580 ⇒ 00:25:45.919 Uttam Kumaran: like. That’s really the impetus for kind of this movement.
267 00:25:46.050 ⇒ 00:25:56.859 Ryan Luke Daque: I don’t know. Let me know. What what do you think? Reading my message? And what do you think overall? We’re still like growing. We’re like, pretty much.
268 00:25:56.890 ⇒ 00:26:04.949 Ryan Luke Daque: you pretty much a new company. So yeah, that’s the goal, right to get more clients and stuff. And like you also hired like a new.
269 00:26:05.110 ⇒ 00:26:22.459 Uttam Kumaran: I guess new date. Brian. Yeah, Nick, so let me give you context on that. And this is actually a really good point is, I’m gonna start also doing like larger team. I mean, there’s not a heat ton of people. But gonna start doing larger team meetings
270 00:26:22.600 ⇒ 00:26:32.900 Uttam Kumaran: where we can all kind of just say Hi, and they’ll just be quick. But Nick, working on another client. He is actually he. He’s a friend of mine from New York.
271 00:26:33.360 ⇒ 00:26:42.930 Uttam Kumaran: Also an analytics engineer, and he’s going to be taking on another client. And I’m just kind of helping with some project management.
272 00:26:43.200 ⇒ 00:26:47.260 Uttam Kumaran: But I was the one that kind of sourced that opportunity and then bringing him in.
273 00:26:47.270 ⇒ 00:27:05.700 Uttam Kumaran: So currently, it’s the 3 of us that will be working. And there’s a couple of other people in the slack channel that I’m sure you’re seeing that I’ll get everyone together very shortly. But yeah, you, me and Nick are the key. 3 people that are that are working at the moment.
274 00:27:06.210 ⇒ 00:27:07.420 Uttam Kumaran: So, yes.
275 00:27:08.730 ⇒ 00:27:11.719 Uttam Kumaran: so for yeah, primarily, it’s like, my job
276 00:27:11.900 ⇒ 00:27:18.389 Uttam Kumaran: is to go get us more work for higher pay, and then also
277 00:27:19.520 ⇒ 00:27:34.709 Uttam Kumaran: be able to bring on more people, and then also give you more work. Right? So that’s that’s exactly what I need to be spending more time doing. And again I feel really lucky to have you on the team? Because.
278 00:27:34.900 ⇒ 00:27:46.009 Uttam Kumaran: like I again, I’m really confident that you can take in. Take all this work. And we’ve we’ve really made like amazing progress on this client. And you, being here is gonna really help me free up my time to go
279 00:27:46.130 ⇒ 00:27:49.799 Uttam Kumaran: do that for the business. So that’s that’s the main thing.
280 00:27:49.900 ⇒ 00:28:04.840 Ryan Luke Daque: Yeah, nice. Yeah, that’s that’s great. That’s that’s actually yeah. I’m happy about the use that you mentioned earlier. Like, yeah, the rate is the rate also sounds pretty fine. I mean, it’s
281 00:28:04.890 ⇒ 00:28:06.419 Ryan Luke Daque: it’s still within.
282 00:28:06.810 ⇒ 00:28:14.800 Ryan Luke Daque: I guess the range it’s it’s a little below. But considering it’s going to be a full time job like 8 with 8 HA day.
283 00:28:14.810 ⇒ 00:28:23.289 Ryan Luke Daque: Yeah, as opposed to my other like work where I’m it’s it’s like, part time, and it’s also depends on like how many
284 00:28:23.570 ⇒ 00:28:30.420 Ryan Luke Daque: hours a day I can spend. So it’s like, it’s higher, but
285 00:28:30.620 ⇒ 00:28:42.980 Ryan Luke Daque: but not for 8 h. So if you sum up like all the hours work, that’s still gonna be a pretty decent. So yeah, it’s it’s pretty fun. And like I mentioned, I’m like excited to be working
286 00:28:43.220 ⇒ 00:28:50.040 Ryan Luke Daque: with you full time. Cause I like the work that I’m doing here. Currently. like.
287 00:28:50.440 ⇒ 00:28:57.020 Ryan Luke Daque: yeah, like doing Dppt stuff. And I’m also like learning a lot from you and like
288 00:28:57.200 ⇒ 00:28:58.910 Ryan Luke Daque: the business as well.
289 00:28:58.980 ⇒ 00:29:01.199 Ryan Luke Daque: So yeah, it’s pretty fun working with you.
290 00:29:01.420 ⇒ 00:29:11.759 Uttam Kumaran: I really really appreciate it. And the only thing I would say is, I mentioned a couple of things. So one I really appreciate you being flexible on the rate I think
291 00:29:11.760 ⇒ 00:29:36.009 Uttam Kumaran: what I mentioned is, I want to put into the contract that once, you know, you’re you’re kind of owning 90% of the deliverables for pull parts, which I think you’re pretty close to. I think I still am doing quite a bit of work, and part of that is part of that is my fault. Part of that is, you know, I just think some. It takes a little. It’s gonna take some more time in the day to get everything done. So I think over the next
292 00:29:36.010 ⇒ 00:29:51.409 Uttam Kumaran: month or 2, I honestly, if it’s 3 months or faster, if that’s okay, just gonna take a little bit longer to kind of do that transition, and then I’d be happy to consider. You know, higher rate. I think the set the couple of other things one.
293 00:29:51.450 ⇒ 00:30:04.940 Uttam Kumaran: too. I also want you to understand that I’m definitely considering you to help on other projects. Again, I know we’re planning 8 HA day. But I wanna give you context that
294 00:30:05.620 ⇒ 00:30:15.270 Uttam Kumaran: the pool parts work may not take 8 HA day. So I wanna definitely make sure that you you’re 100 utilizing that you’re learning a hundred.
295 00:30:15.520 ⇒ 00:30:16.230 Yeah.
296 00:30:16.600 ⇒ 00:30:35.459 Uttam Kumaran: the 2 different sides of like, let’s say, on a given day, you may spend 4 h or 5 h on pool parts that leaves 3 HA day. So one is we can fill that time with additional project work which I’m gonna now kind of spend a lot of my time going and get. The second thing is internal work.
297 00:30:35.720 ⇒ 00:30:40.830 Uttam Kumaran: So we are doing a couple of things internally that I would love
298 00:30:40.900 ⇒ 00:30:49.550 Uttam Kumaran: your help on both new products as well as like just the infrastructure that we’re running
299 00:30:49.650 ⇒ 00:30:54.220 Uttam Kumaran: right? Things like, I wanna set up a boilerplate dbt.
300 00:30:54.470 ⇒ 00:31:02.029 Uttam Kumaran: repository for every client we bring on like I want to create. Like, you know, I wanna create like
301 00:31:02.600 ⇒ 00:31:18.180 Uttam Kumaran: like boilerplate documentation for different things. So just like actually working kind of directly for the company and doing those things. So again, ha! Being able to leverage you for that sort of flexible work is so helpful for me.
302 00:31:18.210 ⇒ 00:31:24.990 Uttam Kumaran: And again, we’re gonna kind of hopefully see how much time it takes for pull parts. And then any remaining time.
303 00:31:25.110 ⇒ 00:31:34.310 Uttam Kumaran: It’s not like, oh, if the full parts. Have you get done? Then you’re just not working like I have so much other work to do. Love to bring you in on
304 00:31:34.410 ⇒ 00:31:42.019 Uttam Kumaran: that you’re to, I would say you’re totally capable of doing so. I would say, this, this job really expands to as big as you want it.
305 00:31:42.440 ⇒ 00:32:03.409 Uttam Kumaran: You know. And and again, I really appreciate you. Mentioning that you’ve learned a lot. That’s also a huge priority of mine is, you know, I think I there’s one thing about working with people that know everything. But it’s it’s really, it’s really hard to find that. And I’m actually more interested in finding people that have the aptitude to learn. And then also I’ve learned a lot from you
306 00:32:03.490 ⇒ 00:32:18.370 Uttam Kumaran: on Dbt testing and a whole host of other things. So again, I I’m I have a ton of confidence that you’ll be able to take on all the projects that we’re undertaking. And again, like, I think I just want the company to grow with the people. So
307 00:32:18.700 ⇒ 00:32:27.729 Uttam Kumaran: that’s you know. That’s something that II know, I explained, when we first started working. And I’m I’m really happy to kind of be able to continue that promise. So
308 00:32:27.910 ⇒ 00:32:28.700 Uttam Kumaran: yeah.
309 00:32:28.900 ⇒ 00:32:32.409 Ryan Luke Daque: nice. Yeah, that sounds great, absolutely nice.
310 00:32:33.100 ⇒ 00:32:46.940 Uttam Kumaran: Okay, cool. So let me know. I know you’re still working on the other client. Let me know. What do you think about like the date to start to ramp up? I want to get a new contract over to you today. But I don’t know. What do you think about timing?
311 00:32:47.030 ⇒ 00:32:51.849 Ryan Luke Daque: Yeah, I was about to ask the same question in terms of like when you
312 00:32:52.380 ⇒ 00:32:54.359 Ryan Luke Daque: want to start the
313 00:32:54.760 ⇒ 00:32:58.829 Ryan Luke Daque: like that commitment for me like the 8 h.
314 00:32:58.870 ⇒ 00:33:02.400 Uttam Kumaran: Yeah, I mean, I’m I’m open for as soon as you are.
315 00:33:03.320 ⇒ 00:33:05.009 Ryan Luke Daque: Yeah, sure.
316 00:33:06.100 ⇒ 00:33:20.509 Ryan Luke Daque: Well, I guess I can. I can start soon anytime soon, because like I like I mentioned, I’m working with the other client. But it’s not really that much I’ll have to like, I guess. Leave the anyway.
317 00:33:20.730 ⇒ 00:33:27.409 Ryan Luke Daque: So I can like focus here for 8 h. So yeah, I should be able to start any time.
318 00:33:27.980 ⇒ 00:33:53.540 Uttam Kumaran: Okay, cool. So let me get the contract over to today. And then, yeah, again, I just wanna make sure that you’re if you’re working, if you’re still working there and then you’re working here that you’re able to commit all the time. I don’t. I don’t mind either way. And then I’m going. I just just knowing that if you’re gonna start this week, again, that’s gonna kind of change the context of the sprint. So wanna make sure that you have.
319 00:33:53.850 ⇒ 00:34:00.329 Uttam Kumaran: You have enough work for this week, and then if there’s other work internally that I can plan and give you. I can do that. So
320 00:34:00.370 ⇒ 00:34:09.829 Uttam Kumaran: yeah, let me know if your if your game is start like tomorrow, then I will. Just we could just plan on that, and then I could make sure that there’s enough work.
321 00:34:10.250 ⇒ 00:34:13.139 Uttam Kumaran: But again, you you let me know what you’re comfortable with.
322 00:34:14.159 ⇒ 00:34:15.590 Ryan Luke Daque: Okay? Sounds good.
323 00:34:16.159 ⇒ 00:34:21.770 Ryan Luke Daque: Yeah, that that sounds good to me like I’m I’m I’m good with tomorrow.
324 00:34:22.449 ⇒ 00:34:34.420 Uttam Kumaran: Okay, perfect. So let me get the. Let me get the contract with that language in there over to you everything will happen via gusto. I know we’re reaching a month on end today
325 00:34:34.429 ⇒ 00:34:41.450 Uttam Kumaran: like in the next few days. So I am. I’m planning on running payroll
326 00:34:41.750 ⇒ 00:34:46.900 Uttam Kumaran: before the 30 first. So if you wanna submit your invoice for
327 00:34:48.040 ⇒ 00:34:57.480 Uttam Kumaran: the month as well, that would be amazing, and then I can make sure that the money gets paid by the thirty-onest.
328 00:34:58.040 ⇒ 00:35:00.640 Ryan Luke Daque: I can send it on, I guess
329 00:35:01.320 ⇒ 00:35:08.280 Ryan Luke Daque: tomorrow. Yeah, if you want to send it. If you want to send it when you end your day tomorrow
330 00:35:08.430 ⇒ 00:35:13.079 Ryan Luke Daque: payment, and then let’s just set. I’m just gonna set a reminder
331 00:35:13.440 ⇒ 00:35:15.319 Uttam Kumaran: within our
332 00:35:16.520 ⇒ 00:35:21.280 Ryan Luke Daque: yeah, just to confirm as well you mentioned like last
333 00:35:21.750 ⇒ 00:35:24.110 Ryan Luke Daque: time, that you were like getting
334 00:35:24.870 ⇒ 00:35:30.739 Ryan Luke Daque: you you propose like the $20 per hour. Is that like.
335 00:35:30.830 ⇒ 00:35:34.279 Ryan Luke Daque: when was that like valid or something? Cause I don’t.
336 00:35:34.470 ⇒ 00:35:40.209 Uttam Kumaran: Yeah, let me look back at. So that was starting on january ninth.
337 00:35:40.520 ⇒ 00:35:45.130 Ryan Luke Daque: Gotcha. So from the first 2 ace that would still be like the
338 00:35:45.480 ⇒ 00:35:52.640 Ryan Luke Daque: if was it? Was it $15? 15 or 13? And then, yeah, or something like, yeah.
339 00:35:52.650 ⇒ 00:35:56.530 Uttam Kumaran: And then from the. Now you can do 20, and then
340 00:35:56.820 ⇒ 00:36:03.360 Uttam Kumaran: and then we can confirm the 35. going forward.
341 00:36:03.770 ⇒ 00:36:05.739 Ryan Luke Daque: Okay, that sounds good.
342 00:36:07.430 ⇒ 00:36:08.490 Ryan Luke Daque: Sounds good.
343 00:36:08.990 ⇒ 00:36:17.170 Uttam Kumaran: Okay, great. Well, I will. I owe you a couple of things. And then, yeah, just let me know how stuff goes for development today.
344 00:36:17.360 ⇒ 00:36:21.679 Ryan Luke Daque: Sure sounds good. I’ll work on whatever I can work on today. And I’ll let you know.
345 00:36:21.740 ⇒ 00:36:24.579 Ryan Luke Daque: Okay, I get run to any blockers or something.
346 00:36:24.770 ⇒ 00:36:30.530 Uttam Kumaran: Okay, perfect. Alright, thanks, Ryan. I really appreciate it again. And yeah, I’m looking forward to the year.
347 00:36:30.740 ⇒ 00:36:46.709 Ryan Luke Daque: Yeah. Hope you how hope you can come to see Boo stop. Someday, yeah, no, I will. Oh, believe me, I will. I again, this is what I need to go work on sales for. I we need a travel budget. So yeah, that’d be great.
348 00:36:46.860 ⇒ 00:36:47.760 Uttam Kumaran: Cool.
349 00:36:48.060 ⇒ 00:36:54.850 Uttam Kumaran: Okay, thanks, Ryan. I’ll talk to you soon. Have a nice rest of your day. Bye, bye.