Meeting Title: Data Service Standup Date: 2026-01-16 Meeting participants: Awaish Kumar, Mustafa Raja, Ashwini Sharma, Demilade Agboola, Sheshu Chandrasekar, Uttam Kumaran, Rico Rejoso, Elizah Joy
WEBVTT
1 00:04:01.490 ⇒ 00:04:02.300 Awaish Kumar: Hello?
2 00:04:04.770 ⇒ 00:04:05.690 Ashwini Sharma: Yeah, we…
3 00:04:07.430 ⇒ 00:04:08.509 Mustafa Raja: Hey, how are you?
4 00:04:08.950 ⇒ 00:04:09.940 Awaish Kumar: I’m good, how about you?
5 00:04:09.940 ⇒ 00:04:10.640 Ashwini Sharma: Good.
6 00:04:10.940 ⇒ 00:04:11.960 Mustafa Raja: I’m doing good.
7 00:04:14.440 ⇒ 00:04:17.500 Awaish Kumar: Well, I see it, the cameras.
8 00:05:23.930 ⇒ 00:05:26.740 Awaish Kumar: Okay, hello, everyone.
9 00:05:34.580 ⇒ 00:05:36.390 Awaish Kumar: Hi, Shishok, how are you?
10 00:05:43.230 ⇒ 00:05:44.639 Awaish Kumar: We can’t hear you.
11 00:05:47.870 ⇒ 00:05:48.720 Demilade Agboola: Hello?
12 00:05:49.180 ⇒ 00:05:50.120 Ashwini Sharma: Hey, Demi.
13 00:05:52.680 ⇒ 00:05:55.640 Demilade Agboola: So, for default…
14 00:05:55.900 ⇒ 00:06:00.400 Awaish Kumar: No, I was just saying hi to the… Oh, okay.
15 00:06:01.340 ⇒ 00:06:03.229 Demilade Agboola: Oh, I’m… how’s everyone doing?
16 00:06:03.650 ⇒ 00:06:04.600 Ashwini Sharma: Hey, Sishu.
17 00:06:06.700 ⇒ 00:06:07.990 Ashwini Sharma: I’m good.
18 00:06:16.470 ⇒ 00:06:20.589 Awaish Kumar: Okay, yeah, everyone is here. I think we can start.
19 00:06:23.060 ⇒ 00:06:24.109 Uttam Kumaran: Yeah, let’s go ahead.
20 00:06:24.680 ⇒ 00:06:33.619 Awaish Kumar: Yeah, so, starting with default, we plan to do some data architecture diagram.
21 00:06:34.000 ⇒ 00:06:37.880 Awaish Kumar: and come up with the ETL plan by, like, by today.
22 00:06:37.980 ⇒ 00:06:40.679 Awaish Kumar: So, how’s that going, Damnari?
23 00:06:44.010 ⇒ 00:06:48.699 Demilade Agboola: So for default, that has been done. We were able to share with them yesterday.
24 00:06:49.080 ⇒ 00:06:54.079 Demilade Agboola: Okay. Also, we’ve been able to add, some scope for, like, amplitude.
25 00:06:54.230 ⇒ 00:06:59.029 Demilade Agboola: So, greg will be meeting with them later on today.
26 00:06:59.240 ⇒ 00:07:01.210 Demilade Agboola: Etl plan is…
27 00:07:01.460 ⇒ 00:07:07.989 Demilade Agboola: Currently on the internal review, so once we feel we’re good, we will send it to the team today.
28 00:07:08.260 ⇒ 00:07:09.640 Awaish Kumar: Okay.
29 00:07:09.690 ⇒ 00:07:17.649 Demilade Agboola: And that would contain all the other things, like the data sources, so I’ll clear up the tickets before end of week, like, before closing for today.
30 00:07:17.860 ⇒ 00:07:25.769 Demilade Agboola: But yes, I think default is in a good spot. The client seems happy, and they’re quite expectant on, like, us being able to deliver.
31 00:07:27.260 ⇒ 00:07:31.030 Awaish Kumar: Okay, so ETL pan is ready to review, like.
32 00:07:32.080 ⇒ 00:07:37.270 Demilade Agboola: It’s actually currently being reviewed, so I sent it in the… default channel.
33 00:07:37.270 ⇒ 00:07:40.950 Awaish Kumar: And then I’m getting feedback and just modifying based off the feedback.
34 00:07:41.780 ⇒ 00:07:42.950 Awaish Kumar: Okay, yeah.
35 00:07:46.210 ⇒ 00:07:49.729 Awaish Kumar: Okay, great. Muswar, do you want to give any updates?
36 00:07:49.730 ⇒ 00:08:07.579 Mustafa Raja: Yeah, so, the project, looks good, everything is on time, and for my tickets, for 213, the ad hoc request that they gave, right? So, they want one more chart in it, that I’m going to add, and then I’m going to close this ticket.
37 00:08:08.360 ⇒ 00:08:14.519 Awaish Kumar: So, yeah, like, for example, ETL plan, like, if it isn’t…
38 00:08:14.520 ⇒ 00:08:15.850 Mustafa Raja: And this is in review, sorry.
39 00:08:15.850 ⇒ 00:08:18.619 Awaish Kumar: Update these, and yeah, we can…
40 00:08:18.620 ⇒ 00:08:19.420 Mustafa Raja: Yeah.
41 00:08:19.740 ⇒ 00:08:26.880 Awaish Kumar: That’s good. We can move on, on ABC, for example, we…
42 00:08:27.980 ⇒ 00:08:32.349 Awaish Kumar: We received the service count keys, so, like, what is next?
43 00:08:32.770 ⇒ 00:08:33.600 Awaish Kumar: I…
44 00:08:34.600 ⇒ 00:08:38.200 Mustafa Raja: Next up for today, I’m going to add the data.
45 00:08:38.360 ⇒ 00:08:39.610 Awaish Kumar: In BigQuery?
46 00:08:39.780 ⇒ 00:08:45.849 Mustafa Raja: So if you would, take a look at ABC Discovery Project, it should be in there.
47 00:08:48.610 ⇒ 00:08:49.590 Awaish Kumar: Okay.
48 00:09:02.540 ⇒ 00:09:04.000 Mustafa Raja: Yeah, we see Discovery.
49 00:09:04.110 ⇒ 00:09:08.040 Mustafa Raja: So, yeah, I’m going to work on this, and that’s pretty much it.
50 00:09:09.800 ⇒ 00:09:10.510 Awaish Kumar: Okay.
51 00:09:11.480 ⇒ 00:09:12.520 Awaish Kumar: So yeah.
52 00:09:12.960 ⇒ 00:09:15.440 Awaish Kumar: And as I mentioned, we can just create a…
53 00:09:15.800 ⇒ 00:09:24.320 Awaish Kumar: project for this, like, data engineering and analytics, kind of a separate project to include all the DEA-related tickets there.
54 00:09:25.040 ⇒ 00:09:25.760 Mustafa Raja: Yep.
55 00:09:26.060 ⇒ 00:09:28.779 Mustafa Raja: Yeah, I’ll, I’ll get on Amber with that.
56 00:09:29.670 ⇒ 00:09:30.400 Awaish Kumar: Okay.
57 00:09:33.200 ⇒ 00:09:40.099 Awaish Kumar: So, all good here, and yeah, we don’t have anything on rubber stamps. We can move on to Element.
58 00:09:43.900 ⇒ 00:09:50.590 Uttam Kumaran: Yeah, so I can… yeah, I can maybe give an update. So yesterday, went well. I, shared…
59 00:09:51.200 ⇒ 00:10:04.959 Uttam Kumaran: I kind of finished up the action items that she wanted. I think our plan is basically… so she’s gonna be out a few days, so I think basically on Monday, we’ll kind of go through that formatting exercise.
60 00:10:05.070 ⇒ 00:10:08.109 Uttam Kumaran: And then, Awash, we can plan on just, like, aligning…
61 00:10:08.430 ⇒ 00:10:10.350 Uttam Kumaran: You know, the output to that format.
62 00:10:11.050 ⇒ 00:10:14.389 Uttam Kumaran: And sending it back to her for, review.
63 00:10:14.900 ⇒ 00:10:19.329 Uttam Kumaran: So I shipped the email address, I shipped the retail analysis plan.
64 00:10:19.970 ⇒ 00:10:25.229 Uttam Kumaran: So overall, I feel good. I’m interested to hear about,
65 00:10:25.340 ⇒ 00:10:29.040 Uttam Kumaran: Anything else in the modeling, or somewhat a few other things?
66 00:10:31.640 ⇒ 00:10:39.290 Awaish Kumar: Yeah, my side, like, we did that modeling yesterday, and I came up with this summary view that she needed.
67 00:10:39.530 ⇒ 00:10:54.609 Awaish Kumar: Apart from that, like, there is one… two things on the wholesale side we can still do, which I’m not able to do right now. It’s because of polyatomic sinks. So, we need order, like, product level, granularity.
68 00:10:54.770 ⇒ 00:10:57.599 Awaish Kumar: We need to go into, like,
69 00:10:58.350 ⇒ 00:11:06.619 Awaish Kumar: product schools, and in the schools, they have information about, like, the fridge or the gifts. So, using that, we can get the cost.
70 00:11:06.910 ⇒ 00:11:16.309 Awaish Kumar: So that’s the one way of getting COGS for that wholesale team… for the wholesale team, and then second thing also, like, school-level performance analysis, so…
71 00:11:16.650 ⇒ 00:11:28.110 Awaish Kumar: That’s missing, and then I have, for Shopify overall, I have a FET order… like, FET order table, but, yeah, like, I don’t know if we… how…
72 00:11:28.700 ⇒ 00:11:31.649 Awaish Kumar: We can go on, like, building some,
73 00:11:32.120 ⇒ 00:11:37.979 Awaish Kumar: clean table for Shopify… for e-commerce, but specifically only to Shopify.
74 00:11:38.890 ⇒ 00:11:40.540 Awaish Kumar: Okay. Yep.
75 00:11:44.090 ⇒ 00:11:52.280 Awaish Kumar: Yeah, like, the same view, which maybe you have seen yesterday for the wholesale, we could create the same view for e-commerce.
76 00:11:52.400 ⇒ 00:11:53.140 Awaish Kumar: targeting.
77 00:11:53.140 ⇒ 00:11:53.760 Uttam Kumaran: Yeah.
78 00:11:54.110 ⇒ 00:12:02.059 Uttam Kumaran: I think we’ll do the same thing, but basically, I think once we do the formatting meeting, we can start to just pump those out to Google Sheets. How are we gonna write to Google Sheets, though?
79 00:12:02.530 ⇒ 00:12:04.100 Uttam Kumaran: Can we use polysomic?
80 00:12:05.920 ⇒ 00:12:12.320 Awaish Kumar: No, like… for writing, I… I just, like, for that… that was a draft, so I just downloaded.
81 00:12:12.320 ⇒ 00:12:15.589 Uttam Kumaran: Yeah, yeah, yeah, no, for a future, like, in case we need to update.
82 00:12:16.110 ⇒ 00:12:23.189 Awaish Kumar: Yeah, in case we need to upgrade, maybe I can start, like, something in Snowflake task, like Python.
83 00:12:23.680 ⇒ 00:12:28.830 Awaish Kumar: Python task to just download data and write it to a Google Sheet.
84 00:12:30.540 ⇒ 00:12:32.919 Uttam Kumaran: I didn’t know if you can go both ways.
85 00:12:34.370 ⇒ 00:12:37.580 Uttam Kumaran: It’s because in polyatomic, it’s a source and destination.
86 00:12:38.980 ⇒ 00:12:39.800 Awaish Kumar: Yeah.
87 00:12:39.800 ⇒ 00:12:40.360 Uttam Kumaran: gap.
88 00:12:40.360 ⇒ 00:12:45.790 Awaish Kumar: We can do that, like, we can… basically, we can read from Snowflake, and we need to create this model in Polytomic.
89 00:12:46.030 ⇒ 00:12:46.520 Awaish Kumar: And then…
90 00:12:46.520 ⇒ 00:12:47.690 Uttam Kumaran: Yeah, exactly.
91 00:12:47.690 ⇒ 00:12:48.700 Awaish Kumar: Google Sheet, yeah.
92 00:12:50.050 ⇒ 00:12:50.600 Uttam Kumaran: Yeah.
93 00:12:56.210 ⇒ 00:13:02.530 Awaish Kumar: Yeah, but for that to happen, like, we have to do everything in a SQL, like, Polytomic will just write as it is.
94 00:13:02.660 ⇒ 00:13:07.339 Awaish Kumar: So… IF formatting and all everything, like, if there is any…
95 00:13:07.340 ⇒ 00:13:11.470 Uttam Kumaran: No, no, no, so we will… we’ll send it there, raw, we’ll format it again.
96 00:13:12.100 ⇒ 00:13:13.449 Awaish Kumar: In, in Excel.
97 00:13:13.450 ⇒ 00:13:15.169 Uttam Kumaran: In Sheets, yeah.
98 00:13:16.700 ⇒ 00:13:17.440 Uttam Kumaran: Yeah.
99 00:13:18.390 ⇒ 00:13:25.560 Awaish Kumar: Yeah, for that, then I think Python may be more helpful, like, I can just write formatting in code, and that’s all.
100 00:13:26.090 ⇒ 00:13:26.840 Uttam Kumaran: Okay.
101 00:13:28.660 ⇒ 00:13:29.540 Awaish Kumar: Okay.
102 00:13:31.080 ⇒ 00:13:35.200 Awaish Kumar: Then we can move to CTA.
103 00:13:36.480 ⇒ 00:13:42.549 Awaish Kumar: I still don’t, like, see the tickets, from Slack message. Put them the Slack message.
104 00:13:43.710 ⇒ 00:13:46.310 Uttam Kumaran: I’ve not yet.
105 00:13:46.310 ⇒ 00:13:51.309 Ashwini Sharma: Yeah, I’ve not yet created. I’ll talk with Catherine today, I have a meeting scheduled with her.
106 00:13:51.410 ⇒ 00:13:55.700 Ashwini Sharma: And then I’ll create it, based on the outcome of that discussion.
107 00:13:56.830 ⇒ 00:13:59.549 Uttam Kumaran: Okay. She mentioned,
108 00:13:59.800 ⇒ 00:14:06.350 Uttam Kumaran: that she was feeling sick yesterday, so I’m gonna send a note right now. I sent you her, her, her,
109 00:14:06.790 ⇒ 00:14:08.820 Uttam Kumaran: She gave me the scanner data.
110 00:14:09.320 ⇒ 00:14:11.700 Uttam Kumaran: From Merits. Did I send you that?
111 00:14:12.260 ⇒ 00:14:15.730 Ashwini Sharma: No, I… I don’t have the scanner data.
112 00:14:16.120 ⇒ 00:14:17.829 Uttam Kumaran: Okay, okay, let me.
113 00:14:19.560 ⇒ 00:14:21.570 Ashwini Sharma: Where did she put it? Did she put it in S?
114 00:14:21.570 ⇒ 00:14:26.389 Uttam Kumaran: No, she sent it to me, and I didn’t… yeah, she put an S3, I just… maybe I forgot to send it to you.
115 00:14:26.390 ⇒ 00:14:27.910 Ashwini Sharma: Scanner.
116 00:14:29.230 ⇒ 00:14:30.760 Ashwini Sharma: One restriction.
117 00:14:32.910 ⇒ 00:14:33.500 Awaish Kumar: Okay.
118 00:14:33.680 ⇒ 00:14:36.680 Ashwini Sharma: Oh, where did she put this one?
119 00:14:38.000 ⇒ 00:14:42.190 Ashwini Sharma: Hold on a second… What personal?
120 00:14:50.870 ⇒ 00:14:53.510 Ashwini Sharma: DataOps Playground, data lake, okay.
121 00:14:57.820 ⇒ 00:15:00.380 Ashwini Sharma: DataOps Playground.
122 00:15:01.780 ⇒ 00:15:02.580 Ashwini Sharma: Okay.
123 00:15:08.720 ⇒ 00:15:12.449 Uttam Kumaran: Yeah, maybe let’s, either way, we’ll do that meeting.
124 00:15:12.740 ⇒ 00:15:13.490 Uttam Kumaran: Me and you.
125 00:15:14.110 ⇒ 00:15:14.910 Ashwini Sharma: Okay.
126 00:15:16.760 ⇒ 00:15:21.639 Awaish Kumar: Okay, so yeah, is there any update on this engagement report?
127 00:15:22.700 ⇒ 00:15:30.130 Ashwini Sharma: No updates. Like, I’ve got the data, right? I’ll create a model and then expose the final table to her.
128 00:15:31.850 ⇒ 00:15:41.829 Ashwini Sharma: Yeah, basically, like, a lot of things will change after today’s discussion, because, like, the earlier discussion I had with, Catherine before she went on that event.
129 00:15:42.220 ⇒ 00:15:49.070 Ashwini Sharma: was mainly around, you know, how to create that Power BI report. Probably you have not seen that, but she had sent me a PDF, which…
130 00:15:49.330 ⇒ 00:15:55.289 Ashwini Sharma: which is, export from the Power BI report that they are currently looking at, right? And that’s,
131 00:15:55.490 ⇒ 00:16:07.519 Ashwini Sharma: That contains a lot of metrics, and all those metrics come from various different sources. So, a segment of that, a section of that report is reproducible by the data that she had shared in S3.
132 00:16:07.830 ⇒ 00:16:09.669 Ashwini Sharma: Right? And I’m able to do that.
133 00:16:11.590 ⇒ 00:16:17.920 Ashwini Sharma: But for the other data, we’ll have to, you know, talk to her, and then figure out, like, where the other data would come from, and…
134 00:16:18.190 ⇒ 00:16:21.429 Ashwini Sharma: How can we get as close as to that report?
135 00:16:21.840 ⇒ 00:16:24.920 Awaish Kumar: Yeah, like, but, like, in this view, I…
136 00:16:25.180 ⇒ 00:16:31.629 Awaish Kumar: I’m not able to gauge any… this, like, kind of information, so if we can split this ticket, or…
137 00:16:31.790 ⇒ 00:16:38.070 Awaish Kumar: organize it in a way that we can see the progress. Okay, you have worked on one data source, and the others are missing, or something like that.
138 00:16:38.500 ⇒ 00:16:43.719 Ashwini Sharma: Yeah, it’s, it’s, basically data source is all S3 files, right? CSV files on S3.
139 00:16:43.720 ⇒ 00:16:44.380 Uttam Kumaran: I’m just saying.
140 00:16:44.380 ⇒ 00:16:45.939 Awaish Kumar: We can reflect.
141 00:16:46.200 ⇒ 00:16:48.809 Ashwini Sharma: I’ll… yeah, I’ll put more details so that,
142 00:16:49.200 ⇒ 00:16:50.780 Ashwini Sharma: It’s understandable what is going on.
143 00:16:51.070 ⇒ 00:16:52.270 Uttam Kumaran: Oh, my God.
144 00:16:53.250 ⇒ 00:16:57.529 Awaish Kumar: Okay, all good here. I can move on to Hidra.
145 00:16:58.580 ⇒ 00:17:01.429 Awaish Kumar: So yeah, Autumn, you wanna give our briefs?
146 00:17:02.790 ⇒ 00:17:06.340 Uttam Kumaran: Yeah, update today,
147 00:17:06.650 ⇒ 00:17:23.260 Uttam Kumaran: So, we met with her yesterday. We’re getting, basically, the scope, confirmed for, like, this upcoming quarter. I think they’re totally fine with, I think, like, 20 hours… 10 and 20 hours a week on data modeling work.
148 00:17:23.260 ⇒ 00:17:24.740 Awaish Kumar: I think…
149 00:17:24.740 ⇒ 00:17:27.780 Uttam Kumaran: most likely, Awash, we’ll just have to figure out, like.
150 00:17:28.109 ⇒ 00:17:38.789 Uttam Kumaran: if we can… if you’re gonna continue to take it, but basically, I think this is the next client, where whoever comes in next can probably take. And then Greg pitched,
151 00:17:39.270 ⇒ 00:17:40.850 Uttam Kumaran: Sandra on…
152 00:17:41.330 ⇒ 00:17:49.850 Uttam Kumaran: product analytics scope, so that’s in their… ball’s in their core. So I would keep working on your stuff, Awash. I feel like that’s…
153 00:17:50.980 ⇒ 00:17:52.540 Uttam Kumaran: That’s fine, so…
154 00:17:53.120 ⇒ 00:17:53.650 Awaish Kumar: Okay.
155 00:17:55.020 ⇒ 00:18:02.060 Uttam Kumaran: Yeah, if you think it’s easy, we could start looping in Mustafa here as well.
156 00:18:03.740 ⇒ 00:18:04.230 Awaish Kumar: What’d he drive?
157 00:18:04.230 ⇒ 00:18:08.470 Uttam Kumaran: Yeah, some of these… so, yeah, some of these changes may be a little bit simpler.
158 00:18:09.140 ⇒ 00:18:16.220 Awaish Kumar: I actually did somewhat on, like, like, From a strategy team, like, The problem is that.
159 00:18:16.220 ⇒ 00:18:17.070 Uttam Kumaran: Oh, okay.
160 00:18:17.070 ⇒ 00:18:18.230 Awaish Kumar: EMCA is not…
161 00:18:18.750 ⇒ 00:18:29.590 Awaish Kumar: She’s not, like, articulating things or stuff in a manner, like, that can be conveyed to exact level,
162 00:18:29.970 ⇒ 00:18:33.110 Awaish Kumar: the leadership team, like, so, like…
163 00:18:33.310 ⇒ 00:18:37.130 Awaish Kumar: I can help with modeling, but then it’s someone who is like, okay, actually.
164 00:18:37.330 ⇒ 00:18:42.600 Awaish Kumar: presenting something which can engage Michael, darren.
165 00:18:42.600 ⇒ 00:18:43.450 Uttam Kumaran: Okay, okay.
166 00:18:44.940 ⇒ 00:18:49.559 Uttam Kumaran: Okay, could you send a note in…
167 00:18:50.670 ⇒ 00:18:55.380 Uttam Kumaran: Either the strategy channel or in the service leads channel, tag Robert.
168 00:18:56.040 ⇒ 00:19:02.020 Uttam Kumaran: Mention, hey, We need strategy support on HITRA.
169 00:19:02.210 ⇒ 00:19:07.100 Uttam Kumaran: To help with, like, basically data… some data analysis and, like, presentation.
170 00:19:07.670 ⇒ 00:19:09.130 Awaish Kumar: Okay.
171 00:19:10.250 ⇒ 00:19:13.780 Uttam Kumaran: Maybe that just ends up being… maybe that ends up being Greg, also.
172 00:19:14.290 ⇒ 00:19:22.280 Uttam Kumaran: You know, so… if Greg can do that too, then, like, I would just shove that… give that all to Greg, basically.
173 00:19:22.540 ⇒ 00:19:23.230 Awaish Kumar: Yep.
174 00:19:23.700 ⇒ 00:19:25.030 Awaish Kumar: Okay, I’ll do that.
175 00:19:25.660 ⇒ 00:19:31.940 Awaish Kumar: Apart from that, all good here, and we can move on to Magic Spoon. I don’t know, I don’t see…
176 00:19:32.830 ⇒ 00:19:35.530 Awaish Kumar: Cycles, the current cycle, it is.
177 00:19:40.400 ⇒ 00:19:44.980 Awaish Kumar: For this, yeah, any updates, Demi?
178 00:19:45.900 ⇒ 00:19:56.209 Demilade Agboola: So updates from Magic Spoon. So this week was generally a slow week, largely because we weren’t able to get access. However, we have been able to get access to
179 00:19:56.420 ⇒ 00:20:01.580 Demilade Agboola: Prefect, as well as, you know, redshift rights, like, admin access.
180 00:20:02.250 ⇒ 00:20:05.589 Demilade Agboola: So we should be able to start deploying next week.
181 00:20:07.190 ⇒ 00:20:12.829 Demilade Agboola: But right now, the clients, like, what we just want to clear out this week will just be aggregating
182 00:20:12.980 ⇒ 00:20:18.300 Demilade Agboola: The data, and just validating the aggregations against what we can see.
183 00:20:18.720 ⇒ 00:20:24.140 Demilade Agboola: And then just sending over the audit doc. That would be it for this week.
184 00:20:24.140 ⇒ 00:20:24.760 Awaish Kumar: Okay.
185 00:20:26.120 ⇒ 00:20:29.620 Awaish Kumar: So was… was this tested, like, prefect pipeline initially?
186 00:20:30.100 ⇒ 00:20:34.289 Ashwini Sharma: Yeah, it’s tested locally. There’s a small change that needs to be done on this one.
187 00:20:34.400 ⇒ 00:20:40.880 Ashwini Sharma: Which is mainly, the incremental extract running on specific cadence, right?
188 00:20:41.100 ⇒ 00:20:46.799 Ashwini Sharma: So that logic has to be incorporated in the pipeline, and then I can push it into the repo.
189 00:20:47.080 ⇒ 00:20:48.060 Ashwini Sharma: Okay.
190 00:20:49.200 ⇒ 00:20:54.029 Ashwini Sharma: The other thing was done, MAG8 was done, we can put it for client review.
191 00:20:55.390 ⇒ 00:21:01.649 Ashwini Sharma: Qa audit could not be done, because yesterday also he said, you know, I’ll upload the file.
192 00:21:01.990 ⇒ 00:21:03.879 Ashwini Sharma: It was not there when I checked it.
193 00:21:05.040 ⇒ 00:21:07.150 Ashwini Sharma: So I don’t know what’s going on.
194 00:21:08.200 ⇒ 00:21:10.510 Awaish Kumar: Okay, yeah, but, like, we…
195 00:21:11.140 ⇒ 00:21:16.289 Awaish Kumar: Maybe have a ticket for the cost optimization thing we will be looking maybe today?
196 00:21:16.970 ⇒ 00:21:20.029 Awaish Kumar: I don’t see a meeting, if you already worked on that.
197 00:21:20.760 ⇒ 00:21:26.810 Ashwini Sharma: No, no, I’ll send out the invite again. Yesterday, we didn’t get the time because the other meeting extended.
198 00:21:27.080 ⇒ 00:21:27.750 Awaish Kumar: Okay.
199 00:21:27.750 ⇒ 00:21:29.840 Ashwini Sharma: More than, what we thought.
200 00:21:30.890 ⇒ 00:21:32.210 Awaish Kumar: Okay, maybe let’s…
201 00:21:32.550 ⇒ 00:21:32.890 Ashwini Sharma: Good.
202 00:21:33.160 ⇒ 00:21:36.439 Awaish Kumar: Here, so we know what we’re doing, and then,
203 00:21:36.670 ⇒ 00:21:41.210 Awaish Kumar: Maybe deploy pre… like, do we want to deploy today? It’s Friday, I don’t know.
204 00:21:41.910 ⇒ 00:21:43.739 Ashwini Sharma: We will not deploy it today.
205 00:21:45.250 ⇒ 00:21:46.060 Awaish Kumar: Okay.
206 00:21:46.060 ⇒ 00:21:49.910 Ashwini Sharma: I’ll make that change in the pipeline, that… That is needed.
207 00:21:50.040 ⇒ 00:21:51.620 Awaish Kumar: And then.
208 00:21:51.680 ⇒ 00:21:55.479 Ashwini Sharma: Then we can… Maybe on Monday, we can deploy it.
209 00:21:55.480 ⇒ 00:21:57.009 Awaish Kumar: Okay, great.
210 00:21:57.740 ⇒ 00:22:00.760 Awaish Kumar: Okay, all good. Thank you.
211 00:22:01.750 ⇒ 00:22:08.010 Awaish Kumar: Yeah, so everything is fine on my side, Utham do you wanna… Add anything?
212 00:22:08.670 ⇒ 00:22:10.200 Uttam Kumaran: Yeah, I,
213 00:22:10.440 ⇒ 00:22:16.039 Uttam Kumaran: I don’t know, maybe, Yoish, we have to think about something to do on Fridays, like, in these. Just, like, recap.
214 00:22:16.370 ⇒ 00:22:19.979 Uttam Kumaran: I mean, from my perspective, I think, like.
215 00:22:20.240 ⇒ 00:22:24.829 Uttam Kumaran: Like, we’ve almost, like, went, like, 20-30% better than the previous week.
216 00:22:24.940 ⇒ 00:22:38.650 Uttam Kumaran: Like, I think everybody has finished out their first versions of Gantt charts. There were some straggler clients, like, I think Hydra’s kind of, like, in a little bit limbo, but we’re kind of finishing that up.
217 00:22:38.670 ⇒ 00:22:47.140 Uttam Kumaran: I think it would be great, always, for you to loop, like, Mustafa there, someone to help, like, just have you stay organized, because you can tell that
218 00:22:47.190 ⇒ 00:22:51.999 Uttam Kumaran: Sandra’s kind of a little bit all over. I think CTA also, they were just out, but…
219 00:22:52.230 ⇒ 00:22:53.249 Uttam Kumaran: I sh…
220 00:22:53.420 ⇒ 00:23:13.199 Uttam Kumaran: We had a great conversation with her. They want us to help them with, like, a ton of stuff, so we’re, like, we’re basically… we’re back, you know? So, I feel good. I think we… I think we’ll actually end up having to loop in folks here, so maybe a ways I actually may need more of your time here, because we’re gonna have a lot more work.
221 00:23:13.250 ⇒ 00:23:16.379 Uttam Kumaran: And I need a lot more help on the architecture side.
222 00:23:18.210 ⇒ 00:23:25.279 Uttam Kumaran: So, yeah, I feel overall, things are… things are good. I think this next week, we close out the default contract.
223 00:23:25.440 ⇒ 00:23:31.849 Uttam Kumaran: And I’m kind of, like, viciously recruiting for more data folks.
224 00:23:32.030 ⇒ 00:23:37.669 Uttam Kumaran: So yeah, I mean, I think, overall things are going well. Yeah, I’d love to hear your perspective.
225 00:23:39.810 ⇒ 00:23:44.149 Awaish Kumar: Yeah, on my side, like, things are going well. I was also thinking about…
226 00:23:44.540 ⇒ 00:23:47.909 Awaish Kumar: Having this kind of recap, or maybe we…
227 00:23:48.060 ⇒ 00:23:59.039 Awaish Kumar: maintain a document notion or something, where we have a summary of the week, like, what went well on each client, and we don’t need, like, someone to fill in, we just use our…
228 00:23:59.250 ⇒ 00:24:03.080 Awaish Kumar: stand-ups and AI to generate those for us.
229 00:24:03.890 ⇒ 00:24:05.279 Uttam Kumaran: And you for internally.
230 00:24:05.280 ⇒ 00:24:06.519 Awaish Kumar: Yeah, yeah, for internet.
231 00:24:06.860 ⇒ 00:24:08.539 Uttam Kumaran: Okay, okay, yeah.
232 00:24:09.540 ⇒ 00:24:10.880 Uttam Kumaran: Yeah, I agree.
233 00:24:11.130 ⇒ 00:24:15.729 Uttam Kumaran: I know as, like, a delivery team, like, we haven’t thought yet about, like.
234 00:24:16.500 ⇒ 00:24:27.840 Uttam Kumaran: we don’t… we don’t meet, like, as a delivery crew every week. I think each role is meeting, so maybe that’s something that on Monday, we can sort of talk a little bit about, like.
235 00:24:28.280 ⇒ 00:24:35.109 Uttam Kumaran: as a… in a different service line, or whatever, like, what went well, what didn’t? Especially now that we’re two weeks in.
236 00:24:35.330 ⇒ 00:24:40.090 Uttam Kumaran: To be frank with everybody, like, 2 weeks was sort of, like, how much
237 00:24:40.640 ⇒ 00:24:45.649 Uttam Kumaran: I was like, okay, two weeks, if things are so crazy, then we’ll just go back.
238 00:24:45.760 ⇒ 00:24:51.420 Uttam Kumaran: And, things are going really, really great, so I appreciate everyone’s really, you know, hard work here.
239 00:24:52.120 ⇒ 00:24:55.059 Uttam Kumaran: And I know some people are still split. Yeah, yeah, go ahead.
240 00:24:55.400 ⇒ 00:25:00.200 Awaish Kumar: Yeah, I can, like, maybe propose, like, like, CSOs at least have one.
241 00:25:00.640 ⇒ 00:25:04.700 Awaish Kumar: At least one meeting between all the team members were on the client.
242 00:25:04.920 ⇒ 00:25:16.019 Awaish Kumar: So they, like, on Mondays or something, so they can discuss, like, what’s going on, overall for this client. Like, we are not doing any stand-up, so it’ll be nice.
243 00:25:16.020 ⇒ 00:25:28.470 Uttam Kumaran: I think most folks are meeting, though. Like, I know Demi and Mustafa, you guys meet often. I know Amber, Zoran, Andy team, ABC team is meeting really often. Lilo team, Pranav is meeting.
244 00:25:28.470 ⇒ 00:25:37.879 Uttam Kumaran: I think, frankly, it’s, like, probably me and Ashwini that… on CTA that really haven’t met, and that’s… that’s partly my fault, so…
245 00:25:38.180 ⇒ 00:25:44.659 Awaish Kumar: My point is, like, we are, like, meeting on tickets, like, okay, we are… we want to solve this ticket, let’s meet…
246 00:25:44.660 ⇒ 00:25:46.219 Uttam Kumaran: So, like, the overall strategy.
247 00:25:46.220 ⇒ 00:25:52.829 Awaish Kumar: But on a Monday, we can just meet, like, as a project team to discuss overall client strategies.
248 00:25:52.830 ⇒ 00:25:53.460 Uttam Kumaran: Okay.
249 00:25:54.060 ⇒ 00:25:56.620 Uttam Kumaran: I’m happy to do that, yeah, maybe it, like…
250 00:25:56.980 ⇒ 00:26:04.900 Uttam Kumaran: I… I also think that now that we are, like, 2 weeks, and we’ve kind of checked off a lot of the basics.
251 00:26:05.100 ⇒ 00:26:15.279 Uttam Kumaran: maybe now, at least maybe bi-weekly, it’s helpful to be like, what is the project status? I don’t know, Ashwini or other folks on the call, what you guys think about… about that.
252 00:26:18.820 ⇒ 00:26:24.500 Awaish Kumar: Yeah, but, like, also, like, you don’t need to be in all the meetings, like, if Demi’s CSO, even just…
253 00:26:24.910 ⇒ 00:26:30.490 Uttam Kumaran: No, no, no, totally. Like, I don’t need to be on the clients that I’m not involved in. I just think you’re right in that, like.
254 00:26:30.630 ⇒ 00:26:36.740 Uttam Kumaran: We don’t often talk about, like… most of our meetings are, like, tactical, like, wait, what’s next, what’s next, versus, like.
255 00:26:37.190 ⇒ 00:26:40.640 Uttam Kumaran: Okay, like, let’s look 3 months out, you know?
256 00:26:45.390 ⇒ 00:26:56.300 Uttam Kumaran: like, at least for CTA and Element, we’re gonna do… we have to, like, I know I… we have to do that, because CTA, she just dumped, like, 100 things, so we’re gonna have to get organized. On Element 2,
257 00:26:56.330 ⇒ 00:27:01.029 Uttam Kumaran: by mid… by mid-next month, I’m gonna put together a year-long proposal.
258 00:27:01.040 ⇒ 00:27:11.770 Uttam Kumaran: So, starting… basically, in the next 2 weeks, I’m, like, trying to think about all the things that she wanted us to work on. Internally, we’re gonna agree
259 00:27:11.780 ⇒ 00:27:22.869 Uttam Kumaran: probably first week of February, like, on a year-long Gantt, and then we’ll send it to her for review. And so, like, that’s what, for my clients, is, like, the next sort of phase, you know?
260 00:27:24.700 ⇒ 00:27:31.290 Awaish Kumar: Yeah, so, like, I’ve… maybe we can start next week, start putting things for e-commerce, and then we can…
261 00:27:31.390 ⇒ 00:27:37.650 Awaish Kumar: have a follow-up meeting with Carlos, as we did for Wholesale, to get more information regarding marketing and stuff.
262 00:27:37.820 ⇒ 00:27:40.560 Awaish Kumar: Like, marketing work itself is, like, maybe…
263 00:27:41.150 ⇒ 00:27:44.020 Awaish Kumar: Can give us two to three months of work.
264 00:27:45.490 ⇒ 00:27:46.489 Uttam Kumaran: Yeah, I agree.
265 00:27:49.750 ⇒ 00:27:50.460 Awaish Kumar: Okay.
266 00:27:51.580 ⇒ 00:27:54.360 Uttam Kumaran: I guess my last question, has anyone here
267 00:27:54.560 ⇒ 00:27:58.750 Uttam Kumaran: worked, with data science, like ML, in the past.
268 00:27:59.910 ⇒ 00:28:00.740 Awaish Kumar: I have done it.
269 00:28:00.740 ⇒ 00:28:02.290 Uttam Kumaran: Race you have, yeah.
270 00:28:03.150 ⇒ 00:28:05.980 Uttam Kumaran: Has anyone else done any data science ML work?
271 00:28:06.250 ⇒ 00:28:07.249 Uttam Kumaran: In the past?
272 00:28:14.080 ⇒ 00:28:15.750 Uttam Kumaran: Damaged? No?
273 00:28:16.030 ⇒ 00:28:26.200 Demilade Agboola: Oh, I… sorry, I was… I forgot to turn on my mic. Yeah, I have, but it was, like, many years ago, say, like, 6 years ago, so it’s quite rusty right now.
274 00:28:27.200 ⇒ 00:28:32.499 Uttam Kumaran: I just interviewed a great candidate, he’s, like, a data science ML, like, CSO type.
275 00:28:33.180 ⇒ 00:28:40.710 Uttam Kumaran: I had a great conversation with him. I think he could potentially help us, like, basically
276 00:28:40.930 ⇒ 00:28:56.600 Uttam Kumaran: bring in some of that as an offering. So I was going to connect him, certainly, with UOH. Demi, if you have familiarity about that world, I would love to also connect you with him. I am just a fan of data science. I have not done any… like, I’ve… I work… I have a lot of friends that are data scientists.
277 00:28:56.780 ⇒ 00:29:03.330 Uttam Kumaran: But I… it’s like, I’m too stupid to know how to do any of that, so…
278 00:29:03.330 ⇒ 00:29:04.870 Awaish Kumar: Factors don’t love their work.
279 00:29:05.420 ⇒ 00:29:15.730 Uttam Kumaran: I know, it’s also very tough, and not always very fruitful, so… we had a great conversation, so maybe, I don’t know, Debbie, if you’re okay, I can connect him with you as well.
280 00:29:16.000 ⇒ 00:29:17.140 Demilade Agboola: Okay, sounds good.
281 00:29:17.570 ⇒ 00:29:18.690 Uttam Kumaran: Okay, okay, alright.
282 00:29:18.810 ⇒ 00:29:20.280 Uttam Kumaran: That’s just my last question.
283 00:29:20.840 ⇒ 00:29:21.500 Awaish Kumar: Okay.
284 00:29:22.490 ⇒ 00:29:26.059 Awaish Kumar: Okay, thank you, everyone. See you in the back. Bye.
285 00:29:26.060 ⇒ 00:29:26.730 Ashwini Sharma: Thank you.
286 00:29:26.730 ⇒ 00:29:27.649 Uttam Kumaran: Thank you. Bye.
287 00:29:27.650 ⇒ 00:29:28.610 Demilade Agboola: Thank you.