Meeting Title: Uttam-Kumaran <> Raschelle-Cossid Date: 2024-07-30 Meeting participants: Raschelle Cossid, Uttam
WEBVTT
1 00:06:30.860 ⇒ 00:06:31.350 Hello!
2 00:06:31.720 ⇒ 00:06:32.090 Raschelle Cossid: No.
3 00:06:33.275 ⇒ 00:06:33.650 Raschelle Cossid: Yeah.
4 00:06:33.650 ⇒ 00:06:34.840 Uttam: Hi! How’s it going.
5 00:06:35.540 ⇒ 00:06:38.149 Raschelle Cossid: Hi! All good. Great! How about you?
6 00:06:38.840 ⇒ 00:06:41.969 Uttam: Good. Nice to meet you. How do you pronounce your name? By the way.
7 00:06:41.970 ⇒ 00:06:43.870 Raschelle Cossid: Yeah, you can call me Rachel.
8 00:06:44.610 ⇒ 00:06:47.809 Uttam: Richelle Richelle. My name is Utam. It’s really nice to meet you.
9 00:06:48.140 ⇒ 00:06:54.840 Raschelle Cossid: Yeah, I nice to meet you, too. I think it’s you’re the 1st one that I have met whose name was Autumn. Yeah.
10 00:06:55.420 ⇒ 00:07:03.229 Uttam: Yeah, I feel like you’re the you’re the 1st one I met with Michelle. So yeah, we’re both we’re both unique in that way.
11 00:07:04.059 ⇒ 00:07:05.649 Raschelle Cossid: I see great.
12 00:07:06.970 ⇒ 00:07:08.659 Uttam: How’s your week going so far.
13 00:07:09.582 ⇒ 00:07:17.358 Raschelle Cossid: It’s the 1st of the week, and yeah, going well, and it’s also a pay days. I think.
14 00:07:18.353 ⇒ 00:07:20.606 Uttam: Yeah, that’s always great.
15 00:07:21.170 ⇒ 00:07:24.103 Raschelle Cossid: Yeah, video always looks great.
16 00:07:24.690 ⇒ 00:07:25.520 Uttam: Nice.
17 00:07:26.360 ⇒ 00:07:27.976 Uttam: Yeah, for me, too. I
18 00:07:28.590 ⇒ 00:07:34.883 Uttam: I don’t know. I don’t even know what day it is, what month it is sometime. So I’m just happy that
19 00:07:35.460 ⇒ 00:07:43.139 Uttam: I’m just happy that, you know. I get to talk to more people, and the business, you know, is starting to grow a little bit more so happy about it.
20 00:07:43.460 ⇒ 00:07:47.349 Raschelle Cossid: Yeah, like small wins with big in bucks.
21 00:07:48.290 ⇒ 00:07:52.529 Uttam: Yes, yes, yes. Yeah. Appreciate Paul. Good, positive attitude.
22 00:07:54.791 ⇒ 00:08:07.410 Uttam: Yes, I appreciate the time today. I’ll I guess I’ll love to tell you a little bit about what we’re doing here at Brain Forge. Kind of the you know the the folks I’m
23 00:08:07.550 ⇒ 00:08:22.549 Uttam: I’m looking to bring on to the team and then would love to kind of learn a bit about. You know what you’ve done, what you’re interested in doing and like in your career. And you know, hopefully. See if there’s a there’s an opportunity. And there’s a fit. Is that okay?
24 00:08:22.670 ⇒ 00:08:25.110 Raschelle Cossid: Yes, sure, sure. I’m open to no problem.
25 00:08:25.820 ⇒ 00:08:38.731 Uttam: Okay? Great. So yeah. Brain Forge, is a company based here in the Us. It’s a company I started last year. You know, right around this time, maybe a month or so before this.
26 00:08:39.564 ⇒ 00:08:43.029 Uttam: My background is in data, engineering and computer engineering.
27 00:08:43.567 ⇒ 00:08:46.772 Uttam: I’ve worked for a number of startups
28 00:08:47.430 ⇒ 00:09:02.560 Uttam: in New York City and most recently moved here to Austin, where I started this business. I worked in data, engineering, analytics, engineering. I’ve led data teams. I’ve you know, led product at at startups. And
29 00:09:02.630 ⇒ 00:09:25.860 Uttam: yeah, I have spent a lot of time working with data and working with data folks. And I’m really passionate about, you know, developing data solutions and building data engineering inside companies. So you know, primarily have done a lot of work with Snowflake have worked with Dbt for about 5 or 6 years. Now I’ve done snowflake work for about 5 or 6 years. Have
30 00:09:26.230 ⇒ 00:09:39.730 Uttam: done a lot of stuff with 5 train and a bunch of new tools. And then, of course, on the Bi side, I’ve I’ve used like looker tableau and a whole host of things. So that’s everything from, you know, buying the tools all the way to developing, you know, some of the
31 00:09:39.780 ⇒ 00:09:43.170 Uttam: all the dashboards, for you know, companies. So
32 00:09:43.410 ⇒ 00:09:55.650 Uttam: in in doing that, I realized that you know, I have some skill set around making that a reality for folks, and decided that you know there was some opportunity to bring that to market as part of a consultancy.
33 00:09:56.064 ⇒ 00:10:00.320 Uttam: Where, you know, we go into companies and we help them develop
34 00:10:00.690 ⇒ 00:10:03.040 Uttam: these sorts of data solutions internally.
35 00:10:03.210 ⇒ 00:10:24.220 Uttam: and part of that, of course, is making sure that you know I’m I’m not alone that I have a team of, you know amazing people that can assist in doing that. Help us build solutions, help work together, to develop, you know, great solutions, and then, of course, use the best tools. You know, I’ve already mentioned Snowflake and Dbt, but there are several other tools that
36 00:10:24.250 ⇒ 00:10:26.229 Uttam: we’re using. And
37 00:10:26.697 ⇒ 00:10:36.520 Uttam: yeah, I’m I’m really passionate about, you know, making this reality for companies that otherwise may may not have brought on data folks or aren’t using data to make decisions.
38 00:10:37.110 ⇒ 00:10:41.339 Uttam: So that being said, we’re yeah, I know. I sorry. Go ahead.
39 00:10:41.580 ⇒ 00:10:43.240 Raschelle Cossid: Yeah, that’s great. I mean.
40 00:10:43.270 ⇒ 00:10:57.430 Raschelle Cossid: and being able to hear all those things like from senior data, something it really makes my it really makes me wonder like, Oh, I get to speak with someone, with all this experience and everything. So that’s the one.
41 00:10:57.430 ⇒ 00:11:27.349 Uttam: Oh, I appreciate it. No, I’m I even for me. It’s hard to it’s hard to go back and talk talk about that. But you know I I do. I am proud of kind of the work that we’ve done, and I wanted to give you a little bit of you know. The reason of why I went into the business is, I felt that a lot of companies aren’t able to afford, you know, full time engineers, or aren’t able to build a technical team themselves. And it is really hard, you know, and so to find the tools to purchase the right tools to get senior people.
42 00:11:27.350 ⇒ 00:11:40.059 Uttam: So I wanted to make that a possibility for folks, and I wanted to, you know, use the company as a vehicle, you know, and in addition. I’ve you know, I really am passionate about building a really amazing team. And
43 00:11:40.110 ⇒ 00:11:58.989 Uttam: I want people who join us to learn and and level up and get be given an opportunity, you know, to use the best technologies and and work for multiple clients. And really, you know, gain a lot of experience. Of course, that being said, it’s it’s not like I, and a really easy job, I mean, as you know. So it’s
44 00:11:59.090 ⇒ 00:12:15.999 Uttam: there is a lot of challenge to it. However. I do think a lot about people, and my business is is mostly about people. It’s no longer about me. It’s about the folks that we have on the team. And so that’s why we’re having this conversation today is so I can learn a little bit about
45 00:12:16.040 ⇒ 00:12:21.779 Uttam: you know what you’ve done what you’re interested in doing in data. And you know, understanding whether there’s.
46 00:12:21.970 ⇒ 00:12:35.589 Uttam: you know, opportunity to to work together. And you know, one thing that I always do is, you know, even if it doesn’t work out today, everybody that I meet, I consider for you know, as just a connection for the future. So I I’m always talking to folks and learning
47 00:12:35.690 ⇒ 00:12:50.649 Uttam: about what where people are and what opportunities people are looking for. And you know our company is, you know, ideally, always growing. So. Yeah, that’s a that’s a little bit about me and about the company. So love to hear a little bit about
48 00:12:51.161 ⇒ 00:13:01.009 Uttam: I know you’ve shared a little bit about your background already. But yeah, some some stuff about you. And then also definitely interested in, like where you. You want your career to be heading.
49 00:13:02.420 ⇒ 00:13:09.070 Raschelle Cossid: Yeah, so basically, okay, I graduated computer science and major in data science.
50 00:13:09.090 ⇒ 00:13:14.330 Raschelle Cossid: So my ever since it is started, my career, professional career.
51 00:13:14.866 ⇒ 00:13:24.369 Raschelle Cossid: We, I am in line on doing betas data stuff. So I’ve started my in my 1st company where I was as the technical
52 00:13:24.830 ⇒ 00:13:33.200 Raschelle Cossid: technical stuff doing technical stuff, all things related to data. So it’s it’s an Amazon selling company.
53 00:13:33.210 ⇒ 00:13:38.850 Raschelle Cossid: So it says, the store. It’s a store, it says, rings
54 00:13:39.633 ⇒ 00:13:48.950 Raschelle Cossid: the products, such as ring silicon rings in Amazon. So all of their data started from scratch everything like
55 00:13:49.160 ⇒ 00:13:51.079 Raschelle Cossid: they’ve become huge.
56 00:13:51.930 ⇒ 00:14:07.090 Raschelle Cossid: store. What their data isn’t the company isn’t aligned more in the data side. So by then, I’ve entered, they’ve become data driven. So I’ve started everything from scratch, doing all those metrics and dashboards needed.
57 00:14:07.090 ⇒ 00:14:08.010 Uttam: Nice.
58 00:14:08.140 ⇒ 00:14:12.600 Raschelle Cossid: Yeah, also for the echo like the break the process of
59 00:14:13.093 ⇒ 00:14:22.639 Raschelle Cossid: having the customer journey. So we started really from scratch. So one step at a time. So we’re doing market market analysis.
60 00:14:22.730 ⇒ 00:14:38.990 Raschelle Cossid: and we all of the keywords that should be used. We have the hot cold and those keywords that for neutral ones to really beat on those keywords. So we have to really be like specific or and organize which word to be done
61 00:14:39.030 ⇒ 00:14:43.139 Raschelle Cossid: such that it will generate income or and and profit, of course.
62 00:14:43.360 ⇒ 00:14:50.090 Raschelle Cossid: So that’s yeah. That’s that started out ways. And I was like, there’s so many things to do in here in data. And I was like.
63 00:14:50.250 ⇒ 00:14:58.040 Raschelle Cossid: this is fun like being able to do something, generate something and be able to make profit for the company, of course.
64 00:14:58.190 ⇒ 00:15:06.099 Raschelle Cossid: Oh, this is I’m sticking here. I did I I didn’t make a right choice for my career.
65 00:15:06.320 ⇒ 00:15:11.759 Raschelle Cossid: And then came a time that everything established I was always I was
66 00:15:11.890 ⇒ 00:15:21.490 Raschelle Cossid: we I was peaked by my former college, my Co. Now my colleague, to work and start a company.
67 00:15:21.680 ⇒ 00:15:37.090 Raschelle Cossid: So right now I’m working on them. So it’s called poplar Homes. It’s a real estate company and it caters clients homeowners in the us as well in different states.
68 00:15:37.340 ⇒ 00:15:40.939 Raschelle Cossid: And right now I’m assigned to the accounting team.
69 00:15:41.460 ⇒ 00:15:43.680 Raschelle Cossid: Okay, so and
70 00:15:44.010 ⇒ 00:15:56.769 Raschelle Cossid: well, the 1st thing I’ll when I move there, it is quite a mess like it’s very the process wasn’t in there. It’s just that they have to pay this owner, but not totally data treatment, as they said.
71 00:15:56.870 ⇒ 00:16:05.070 Raschelle Cossid: and everything is more actually manually designed like for excel. They have, save something like that.
72 00:16:05.100 ⇒ 00:16:07.500 Raschelle Cossid: And Warren files, like
73 00:16:07.820 ⇒ 00:16:10.659 Raschelle Cossid: all files, are juggled in in one
74 00:16:10.950 ⇒ 00:16:19.270 Raschelle Cossid: in one drive, and whenever I look for something I have to scan for the drive, so it’s like a manually so.
75 00:16:19.950 ⇒ 00:16:21.169 Uttam: Yeah. It’s a nightmare.
76 00:16:21.170 ⇒ 00:16:24.779 Raschelle Cossid: Yeah, yeah, it’s it looks like a hub works. I don’t know where.
77 00:16:24.780 ⇒ 00:16:25.379 Uttam: Yeah, or so, like.
78 00:16:25.380 ⇒ 00:16:42.529 Raschelle Cossid: Get the word to. I just basically lost. So with that eyes for spurheaded efforts to really uncover the and formulate actionable recommendations that way, was able to drive efficiency and accuracy of on your payouts, which really impacted
79 00:16:43.251 ⇒ 00:16:45.840 Raschelle Cossid: the company in terms of the
80 00:16:45.880 ⇒ 00:17:01.770 Raschelle Cossid: like, the numbers and metrics, and also the the Ca. The number of cases being generated, they might be because of errors and mistakes due to honor draws and late efficient late draws and inaccurate draws.
81 00:17:02.280 ⇒ 00:17:03.410 Uttam: Do you remember?
82 00:17:03.720 ⇒ 00:17:14.450 Raschelle Cossid: Yeah, it was I really for me. The the data that I’m the data path that I am going is I think I.
83 00:17:15.060 ⇒ 00:17:22.839 Raschelle Cossid: I’m far but not too far. You know that because I have gained experiences merely self explanation.
84 00:17:22.900 ⇒ 00:17:27.560 Raschelle Cossid: I’m doing things because everything is in Google. Everything is in the Internet.
85 00:17:27.569 ⇒ 00:17:28.179 Uttam: Yeah.
86 00:17:28.180 ⇒ 00:17:31.809 Raschelle Cossid: It’s true, right so. And it was. But for me I was like.
87 00:17:32.070 ⇒ 00:17:38.070 Raschelle Cossid: is this the right thing like? Is this the standard way like, how do I know that this is the right thing? What I’m doing.
88 00:17:38.070 ⇒ 00:17:39.119 Uttam: Yeah, yeah, yeah.
89 00:17:39.120 ⇒ 00:17:43.020 Raschelle Cossid: That’s because I deliver it the way they want it to be. But is this the right thing?
90 00:17:43.350 ⇒ 00:17:48.180 Uttam: There’s no like there’s you don’t. There’s nobody around you who’s like this is the right or wrong way.
91 00:17:48.180 ⇒ 00:17:48.973 Raschelle Cossid: You know.
92 00:17:49.760 ⇒ 00:17:51.779 Uttam: Yeah. So I see what you mean. I see what you mean.
93 00:17:51.780 ⇒ 00:18:07.570 Raschelle Cossid: Yeah, yeah, the but that way that the so being able to speak with you with all this experiences, and really more as a data stuff guy. So I was, I was like, Oh, this is cool. This is great. Like, I’m I’m
94 00:18:07.730 ⇒ 00:18:15.230 Raschelle Cossid: I see that I’m going there. And I also want to have a master’s with it, or.
95 00:18:15.230 ⇒ 00:18:16.339 Uttam: Oh, nice!
96 00:18:16.340 ⇒ 00:18:25.819 Raschelle Cossid: Yeah, but but I’m still in down with doing the master suites more on sales or business, or going.
97 00:18:25.820 ⇒ 00:18:27.349 Uttam: Oh, don’t do that!
98 00:18:27.813 ⇒ 00:18:37.550 Raschelle Cossid: Going through the the straight path for our computer science. So yeah, I’m still negotiating between the 2 of them.
99 00:18:38.880 ⇒ 00:19:00.900 Uttam: Nice. Well, look, I’m happy to talk to you about data all day, and you know, one thing I’ll say is, our company is filled with a lot of really senior people. That being said, I started my career when I was very young, like my 1st job in data was when I was 21, and people took risks on me. And so one thing that I think a lot about is.
100 00:19:00.920 ⇒ 00:19:08.829 Uttam: how do I have a mix of folks right. You always want people that are interested in learning, but you also want a mix of people that are very senior, who, you know, can.
101 00:19:08.850 ⇒ 00:19:14.210 Uttam: you know, get the job done, and so our company is always going to be a mix of both. That being said
102 00:19:14.330 ⇒ 00:19:27.170 Uttam: like the the blessing and the curse when you don’t know is that you can ask really great questions. However, it’s an uphill battle, right? There’s a lot to learn, and a lot of mistakes that you’ll make. And so some of some people that struggle.
103 00:19:27.200 ⇒ 00:19:33.900 Uttam: you know, they get frustrated, or they don’t communicate. But I can really hear, you know, in your voice and just this conversation.
104 00:19:33.910 ⇒ 00:19:35.590 Uttam: How excited you are!
105 00:19:35.999 ⇒ 00:19:39.320 Uttam: And so that makes me, you know, really happy.
106 00:19:39.830 ⇒ 00:19:54.429 Uttam: And you know to your point, like, if your if your goal is to learn and to learn best practices, learn. You know what’s the reality of working in a real data company with real clients like, you know. That’s the company that we run, you know.
107 00:19:55.457 ⇒ 00:19:58.669 Uttam: And so I’m I’m really excited to.
108 00:19:58.800 ⇒ 00:20:19.719 Uttam: you know. Hear that. And I, you know I do think there’s opportunity here, I guess that being said, tell me a little bit about your experience. If you had any with Snowflake, with Dbt. With any of these cloud bi tools? Have you had any experiences with those? If so, what have they been? That would be really helpful.
109 00:20:20.430 ⇒ 00:20:39.209 Raschelle Cossid: Yeah, for that. I’m talking about my current company. And I do this also with my previous company before. And basically we produce. Reports. Literally, I offer cell management for client. We have the client which is the honor owners, and we have also the renters.
110 00:20:39.410 ⇒ 00:20:57.196 Raschelle Cossid: the we I made. I need to ensure to have a data documentation as well for and utilizing SQL. And sometime python for those big chunks like I can do in SQL. I use python for analysis and all of my reports.
111 00:20:57.660 ⇒ 00:21:02.989 Raschelle Cossid: everything is built method on the visualization tool. Have you heard of that.
112 00:21:02.990 ⇒ 00:21:04.110 Uttam: Okay. Yes.
113 00:21:04.670 ⇒ 00:21:25.980 Raschelle Cossid: Yeah. And and before I which is currently, I’m still exploring. Also, I’ve worked with Looker studio as well, because this is my 1st baby when in the professional world, in the data visualization. And I still love it because I just can easily redesign click and put it whenever I want to.
114 00:21:26.040 ⇒ 00:21:31.609 Raschelle Cossid: And like Meta, basic, very strict when it comes to delay. Just a specific.
115 00:21:31.670 ⇒ 00:21:33.580 Raschelle Cossid: a charge and questions.
116 00:21:33.710 ⇒ 00:21:45.720 Raschelle Cossid: Yeah. So my day to day. I it would like my usual activities would be to have. We have the software as a service to salesforce. We have the data.
117 00:21:45.880 ⇒ 00:21:49.939 Raschelle Cossid: and we’ve utilized airbite for extraction of it.
118 00:21:50.810 ⇒ 00:21:51.140 Uttam: Okay.
119 00:21:51.140 ⇒ 00:22:01.460 Raschelle Cossid: We get to have that data and fully connected everything. So we utilize the we have that push to the Dbt.
120 00:22:01.560 ⇒ 00:22:06.179 Raschelle Cossid: so there’s a Yml file there that we can just have. Look
121 00:22:06.260 ⇒ 00:22:14.100 Raschelle Cossid: the connection of them. And once we get to have the staging of it, so we we make sure to practice the staging.
122 00:22:14.120 ⇒ 00:22:24.489 Raschelle Cossid: and we’ll have the Int. And fact tables. All of the those updates and development will be on the Dvt. But for the query and transformation side. I use the snowflake
123 00:22:24.620 ⇒ 00:22:27.089 Raschelle Cossid: so because it’s more, I think
124 00:22:27.160 ⇒ 00:22:30.879 Raschelle Cossid: it’s the I think it’s the best
125 00:22:30.890 ⇒ 00:22:41.849 Raschelle Cossid: snowflake environment I have like, which I can see the data. We just click, column, click, scan through. What is it all about? What’s the detail? What are the values in it?
126 00:22:41.920 ⇒ 00:22:44.230 Raschelle Cossid: So it really helps like
127 00:22:44.440 ⇒ 00:22:46.599 Raschelle Cossid: it is the job of knowing
128 00:22:46.610 ⇒ 00:22:55.639 Raschelle Cossid: what are the data like for what are the number of null values you just have to click there, I get a scan proof of everything that I need to.
129 00:22:55.790 ⇒ 00:22:58.694 Raschelle Cossid: I need to learn about the data.
130 00:22:59.170 ⇒ 00:23:03.310 Raschelle Cossid: So it’s like a tool like, it’s so convenient to use snowflake. So
131 00:23:03.360 ⇒ 00:23:11.150 Raschelle Cossid: yeah, so I’m more vertical with, I write Ctes, everything that I write in Dvt
132 00:23:11.240 ⇒ 00:23:15.789 Raschelle Cossid: Updated to Github is explored 1st in Snowflake.
133 00:23:15.830 ⇒ 00:23:22.199 Raschelle Cossid: But the ones I’m confident like, because I run everything and dvt because it’s just I don’t know.
134 00:23:22.360 ⇒ 00:23:25.870 Raschelle Cossid: It takes time to load individuals. I use a snowflake just to.
135 00:23:25.870 ⇒ 00:23:29.799 Uttam: No, and you need to check if you’re like. Have every all your columns. And you know there’s like.
136 00:23:29.800 ⇒ 00:23:30.240 Raschelle Cossid: Yeah.
137 00:23:30.240 ⇒ 00:23:30.910 Uttam: Is.
138 00:23:30.910 ⇒ 00:23:32.869 Raschelle Cossid: Yeah, definitely, yeah, so I just.
139 00:23:32.870 ⇒ 00:23:45.050 Uttam: So what you know, what we do is like what we have it. So when you push a code to github, it checks automatically and then it’ll run it so it checks like it’ll run it, and then it’ll tell you before you when you make a pull request on Github.
140 00:23:45.050 ⇒ 00:23:45.550 Raschelle Cossid: Yeah, yeah.
141 00:23:45.550 ⇒ 00:23:47.809 Uttam: You say, like you’re blocked from
142 00:23:47.820 ⇒ 00:23:48.960 Uttam: pushing it
143 00:23:49.170 ⇒ 00:23:50.589 Uttam: because there’s an error so.
144 00:23:50.590 ⇒ 00:23:51.140 Raschelle Cossid: Yeah, yeah.
145 00:23:51.140 ⇒ 00:23:54.547 Uttam: Run it through that process. So we have several checks that we do.
146 00:23:54.810 ⇒ 00:24:02.790 Raschelle Cossid: Yeah. Yeah. So whenever I do, I save something for a script, I make sure to run it 1st that way. I can see it. So
147 00:24:02.800 ⇒ 00:24:12.129 Raschelle Cossid: yeah, that’s that’s a day to day, like day to day activity. Whenever I get to have to present or produce a report for clients.
148 00:24:12.640 ⇒ 00:24:15.160 Raschelle Cossid: And then top, yeah.
149 00:24:15.160 ⇒ 00:24:16.300 Uttam: Yeah. Go ahead. Go ahead. Sorry.
150 00:24:16.300 ⇒ 00:24:20.609 Raschelle Cossid: Yeah, it depends as well on what task I’m I’m delivering
151 00:24:21.097 ⇒ 00:24:29.409 Raschelle Cossid: but more is more on the accounting stuff, like, for example, the number of owner contributions. What are the performance and
152 00:24:29.550 ⇒ 00:24:32.059 Raschelle Cossid: the percentage of.
153 00:24:32.060 ⇒ 00:24:32.400 Uttam: Yeah.
154 00:24:32.860 ⇒ 00:24:37.470 Raschelle Cossid: Yeah. So it’s just statistics and some sort of
155 00:24:37.580 ⇒ 00:24:39.340 Raschelle Cossid: plus and minus stuff.
156 00:24:40.870 ⇒ 00:24:46.599 Uttam: And then tell me a little bit about like your experience with, like you mentioned, you do some documentation, and
157 00:24:46.710 ⇒ 00:24:50.520 Uttam: you know things around process like, how do you typically handle that?
158 00:24:50.832 ⇒ 00:24:56.970 Uttam: Things like teaching or even documentation about how you do things like any of that would be interesting to hear about.
159 00:24:56.970 ⇒ 00:25:08.660 Raschelle Cossid: Yeah, for everything I do, I may, before I start doing something. I I asked, like better information what to do whenever I get the requirements needed. I make sure to have a mirror board
160 00:25:08.740 ⇒ 00:25:12.209 Raschelle Cossid: with me to really, because I can see I can.
161 00:25:12.610 ⇒ 00:25:37.340 Raschelle Cossid: I can start without having it, because I get lost in in. I get lost while I’m in the video. So I try to put a process map. So it’s in the mirror board. I tried to. 1st I have to do this, and the next step would be the process of mapping and flow until I get to the end. So everything is map, and once I get to write a script, I mean, every city is I have to write a comment with it
162 00:25:37.340 ⇒ 00:25:44.670 Raschelle Cossid: like, what is it all about. Why I’m doing this. Like a brief brief thing. What is it all about? For every city is.
163 00:25:44.700 ⇒ 00:25:47.870 Raschelle Cossid: and in the company we have a notion
164 00:25:48.150 ⇒ 00:26:01.690 Raschelle Cossid: and everything, every column, every column, or every field in it, like what is it all about? And and the formula that was used? So it’s it’s 1 way of having the documentation.
165 00:26:03.220 ⇒ 00:26:08.511 Uttam: Okay, amazing. And then, like, you know, that’s 1 of the challenges we have. I think, like we.
166 00:26:08.890 ⇒ 00:26:13.549 Uttam: we, we have a lot of like documentation that we need to do so definitely interested in, like.
167 00:26:13.770 ⇒ 00:26:16.040 Uttam: how you think about that process
168 00:26:16.080 ⇒ 00:26:18.420 Uttam: because we take on projects. And
169 00:26:18.430 ⇒ 00:26:27.240 Uttam: you know, I want documentation about how to start a new project like what are the most important things when we have? We do a lot of tracking for project management. But that’s where I think we could.
170 00:26:27.280 ⇒ 00:26:30.439 Uttam: We could also use a lot of help. So that’s really great to hear.
171 00:26:30.920 ⇒ 00:26:31.475 Raschelle Cossid: Yeah.
172 00:26:32.680 ⇒ 00:26:41.759 Uttam: And then, so tell me a little bit about like your availability right now. So you mentioned that you’re currently are working for. Is it the startup right now.
173 00:26:41.760 ⇒ 00:26:42.580 Raschelle Cossid: Yeah.
174 00:26:43.770 ⇒ 00:26:51.359 Uttam: So what is your your kind of current availability, or are you already booked like full time, like, what are you kind of looking for in terms of an engagement.
175 00:26:52.895 ⇒ 00:26:58.824 Raschelle Cossid: Yeah, I work here full time. But I’m open to opportunities. Because basically.
176 00:26:59.340 ⇒ 00:27:01.230 Raschelle Cossid: I’m I’m not sure
177 00:27:01.600 ⇒ 00:27:08.443 Raschelle Cossid: because I want to learn more. And I get like exploring things, because if
178 00:27:09.020 ⇒ 00:27:17.860 Raschelle Cossid: I think it would be better to work really on this stuff like the one knows. Well, right? So because right now, we don’t have a senior.
179 00:27:18.010 ⇒ 00:27:26.189 Raschelle Cossid: And it’s basically us with the same in the same position. So we’re really helping each other to do
180 00:27:26.720 ⇒ 00:27:30.680 Raschelle Cossid: what we think based in research would really help.
181 00:27:30.680 ⇒ 00:27:31.500 Uttam: Yeah.
182 00:27:33.050 ⇒ 00:27:38.129 Uttam: And so okay, so you’re definitely looking for like another full time engagement.
183 00:27:38.130 ⇒ 00:27:39.850 Raschelle Cossid: Yeah, yeah.
184 00:27:39.850 ⇒ 00:27:40.430 Uttam: Okay.
185 00:27:40.720 ⇒ 00:27:48.479 Uttam: okay, that’s helpful. I mean at the. So I’ll tell you a little bit about where we are. So right now, we’re in the process of getting some new clients.
186 00:27:48.930 ⇒ 00:27:52.800 Uttam: Ideally. What I would prefer to do is to
187 00:27:52.840 ⇒ 00:28:07.810 Uttam: bring on the clients first, st and then basically like, see if there’s an opportunity, I think, one. There’s certainly opportunity for you to spend time like, just in our company, working on internal projects like organization things like that.
188 00:28:08.155 ⇒ 00:28:15.729 Uttam: But I’ve really enjoyed like speaking with you and your enthusiasm. And so I’m really, you know, really, really hopeful that I can find.
189 00:28:15.770 ⇒ 00:28:21.549 Uttam: you know, an opportunity for us to work together. You know, as I said, like.
190 00:28:21.630 ⇒ 00:28:29.230 Uttam: we’re we’re growing company. So I wanna make sure that I have enough for you. And I can, you know, make sure to to to pay
191 00:28:30.510 ⇒ 00:28:54.629 Uttam: So let me take that back with me, you know, I would say like, let’s keep in touch, I think in the next month or 2, I’m basically, you know, starting to bring on new clients. So I would love to maybe keep in touch and then give you a call, you know, ideally, are you interested? You interested in doing more of like things on the analysis side or more on the Dbt snowflake side? Or where do you really think
192 00:28:55.140 ⇒ 00:29:06.170 Uttam: and that could also be that could change. So I’m it doesn’t need to be like a firm answer now, but just interested in where you fit. Basically, our company split up between data engineers, analytics, engineers and
193 00:29:06.390 ⇒ 00:29:07.730 Uttam: analysts.
194 00:29:08.760 ⇒ 00:29:20.460 Raschelle Cossid: Oh, that’s cool. I’m I’m comfortable with working where wherever wherever I mean, I want to improve so that way. So I don’t mind.
195 00:29:20.790 ⇒ 00:29:28.230 Raschelle Cossid: Yeah, I’m really excited about the skill development, of course, and exposure to projects.
196 00:29:28.720 ⇒ 00:29:29.800 Raschelle Cossid: Yeah, if it was.
197 00:29:29.800 ⇒ 00:29:30.160 Uttam: Okay.
198 00:29:30.160 ⇒ 00:29:32.860 Raschelle Cossid: To my professional grant. That would be nice.
199 00:29:33.450 ⇒ 00:29:38.709 Uttam: Okay, okay, great. And then maybe also. In the meantime, like, are you on slack by chance?
200 00:29:39.320 ⇒ 00:29:42.404 Raschelle Cossid: Yeah. You will utilize slack a lot.
201 00:29:43.530 ⇒ 00:29:46.099 Uttam: Maybe I can just add you to our slack
202 00:29:46.160 ⇒ 00:30:01.909 Uttam: channel. That way. You’re just there. But again, like, I don’t have an opening full time opening right now. But I’m gonna definitely keep you in mind. And like again, my goal very transparently, is to get you into something again like
203 00:30:01.920 ⇒ 00:30:18.739 Uttam: this conversation has given me a lot of energy. Actually, it’s the 1st time in a while someone’s been disapp. It kind of like is how I used to talk. You know, it’s just really excited about data and stuff like that. So it’s been really, really amazing. Getting to talk to you. And yeah, I think let’s find an opportunity
204 00:30:18.750 ⇒ 00:30:30.729 Uttam: to work together. And yeah, you know, you have my you have my approval. And so I will definitely, you know. Look to get to get back to you. With something, you know, as soon as possible.
205 00:30:31.130 ⇒ 00:30:37.799 Raschelle Cossid: Yes, sure, sure, sure. No, no pressure and autumn. I’d like to also inform you that
206 00:30:38.522 ⇒ 00:30:47.069 Raschelle Cossid: the company I’m currently in right now. The does have a moonlighting, no moonlighting policy. Moonlighting.
207 00:30:47.070 ⇒ 00:30:47.650 Uttam: These.
208 00:30:47.650 ⇒ 00:30:51.879 Raschelle Cossid: I don’t have. That means I don’t have to work to other company.
209 00:30:52.290 ⇒ 00:30:57.420 Raschelle Cossid: So so yeah, when I so that way, if I have a full time
210 00:30:58.004 ⇒ 00:31:02.569 Raschelle Cossid: obviously available. It will like it will better for me.
211 00:31:02.790 ⇒ 00:31:11.399 Uttam: No, no, that makes a lot of sense. And you know, this is, gonna take a lot of time. So no, that’s totally fine. And I want to respect that. And I wanna make sure that
212 00:31:11.450 ⇒ 00:31:17.579 Uttam: if you’re able to make it into the brainforce team that you have, you know all of your time and resources available. So.
213 00:31:17.580 ⇒ 00:31:18.090 Raschelle Cossid: June.
214 00:31:18.382 ⇒ 00:31:22.770 Uttam: Yeah. And then also, we have one other team member who’s actually in Cebu City.
215 00:31:23.656 ⇒ 00:31:34.399 Uttam: his name is his name is Ryan. So you know, I think we do have some folks also in India on the Asian you know, like
216 00:31:34.550 ⇒ 00:31:37.769 Uttam: time zone. So we have a mix of people in the company. So
217 00:31:37.880 ⇒ 00:31:54.940 Uttam: yeah, let me let me take that and I’ll get back to you, and I’ll add you to slack. Just so you’re there, and if you have any questions, or again, any questions, I can help you with like learning or resources to let me know. Happy to give advice, or whatever we’re happy to even connect you with some other folks. But
218 00:31:55.247 ⇒ 00:32:04.689 Uttam: yeah, let’s go for that. And then again, you know hopefully. In the next month, if not 2 months. I should be able to get back to you with with an opportunity.
219 00:32:05.020 ⇒ 00:32:06.240 Raschelle Cossid: Oh, yeah, sure.
220 00:32:06.380 ⇒ 00:32:08.130 Raschelle Cossid: that’s great. I’m excited with it.
221 00:32:09.300 ⇒ 00:32:10.690 Uttam: Okay, perfect.
222 00:32:10.720 ⇒ 00:32:12.968 Uttam: Alright. Well, I really appreciate the time.
223 00:32:13.290 ⇒ 00:32:13.750 Raschelle Cossid: Yes, it’s.
224 00:32:13.750 ⇒ 00:32:16.110 Uttam: And yeah, let’s let’s keep in touch.
225 00:32:16.300 ⇒ 00:32:18.689 Raschelle Cossid: Okay? So it would be on
226 00:32:19.177 ⇒ 00:32:22.849 Raschelle Cossid: the online hub stage. Or should I send you the.
227 00:32:23.990 ⇒ 00:32:28.162 Uttam: I’m going to send you an invite to your email to slack.
228 00:32:28.670 ⇒ 00:32:31.440 Uttam: And then that way, we just have a line of communication.
229 00:32:31.738 ⇒ 00:32:41.530 Uttam: And then let’s chat there and then. You know you don’t have. We’re not. Gonna you don’t have to check that all the time, and then, as soon as I get something I’ll I’ll shoot you a slack in an email.
230 00:32:42.150 ⇒ 00:32:45.050 Raschelle Cossid: No, that’s great. Okay, no problem.
231 00:32:45.050 ⇒ 00:32:47.920 Uttam: Okay, thank you so much. Really, great talking to you.
232 00:32:48.150 ⇒ 00:32:50.329 Raschelle Cossid: Nice talking with you, Tom. Have a great day.
233 00:32:50.330 ⇒ 00:32:50.980 Uttam: Okay?
234 00:32:51.120 ⇒ 00:32:51.850 Uttam: Bye.
235 00:32:51.990 ⇒ 00:32:52.660 Raschelle Cossid: Bye, bye.