tell me about my background. My name is Radica. And, uh, I did my engineering in electron ICS back in India, and I graduated there. And then I got married to my husband, obviously. Visa issues. So I couldn't book here, even though I had a couple of years experience working for cardinals and High wasn't able to work here due to my views, that stuff. So I had Teoh home start hunting for, um, some of career opportunities are something. But everything was just voluntary s I wouldn't get paid and nothing was technical, but I wanted so it was just so hard. So I decided to do my masters. And that's how I came to know that there's this program emphasize and university a few car which I was interested in. So I took my g r e and and Tofel can obviously like all the other conscripts and everything that I wanted from back in the FBI gathered those. And that's when I landed up in her Messias program. And I don't regret it. And I majored in data science. Andi Donald, It's because that's where I wanted to be. Um so, yeah. Uh, call my professors help me get through the first job, which was an adobe. Um, so I worked there as a contractor, and that's a marketing analyst there, So I didn't have much hands on experience. This was my first job in the U. S. So I didn't have a lot of experience working with non Indian people, so it was just too much for me. And then I got used to it. And mostly a book on the marketing being off Adobe, which is called the digital Marketing. It was called a digital marketing, um, team. And so this was basically analyzing all the data that, uh, um at all these cloud had bean using. So there were several companies that were using Adobe Adobe's Cloud, and they wanted to know how their usage, where and how about the trends? An analysis where so that's where I was helping them put just, like, back together for them. Like weekly monthly. However, they want it. Um, so, yeah, and then it was a contractor position. Obviously, I had to transition to a full time position sometime. So then I switched to in structure, uh, which was also a similar job, which was a data science job on I worked with various departments and creating dash bodes tableau dash boats and salesforce stash folds. Um so so on so forth for, uh, in structure And then obviously by visa had come up and I couldn't, like, extend my visa. So I quit. And then I joined snap into a 18. So there's been no stopping from there and the God my h one b through them. Um, so I work for I would in the marketing as well. So I was a marketing analyst for Snap for two years, and then I moved to the finance department of Snap of the Chime right now. So I worked as a financial analyst at, uh ah, in snap finance. It's basically a small start up company, which just all the it is called a rent to own. So people in the US that don't have enough credit score This is obviously more important to get any kind off alone here in the US Um, so if you don't have enough credit score than, um um, you you basically use financed through snap. It's just need a credit score. It just means you're like a steady income and few other criterion that's redid. And obviously that's how samples and I worked for their marketing department. And then I moved to finance. Now, so that's my credit. Your pots, yeah.

and I was booking that marketing so snapped and actually have a marketing team when I actually trying there. So all that behind, like, was a marketing director. He was the one that was responsible for putting our campaigns and didn't know where to go from there. So then there was a small analytics team. Obviously, they had billed like models and stop that would help, um, as to big decisions based on the customer's. Like if they're a good customer, they're good much and can really lend money to them. They're several pregnant that they use for modeling Those. So, um, didn't know where to start was the first challenge. Basically. So then I put together some email campaigns and then we sent out emails and obviously there was not much response because it was our first campaign. And then these kept doing it like over regular holidays and then some special events. And obviously that got into that got us into the groove. So then I used eso. This was just basically using top spot, which is also a crm um which is Sierra just less expensive than salesforce because our company didn't want to invest big and Salesforce. Ah, yes. So it was almost like quarter the price off Salesforce help spot film. Uh, we used that. And then I put together some campaigns analysis like how many of them had opened them? And how many times did they click on sudden wings and became the landing pages based on the links that were often clicked things like that on our r O. I was suggested based on that. So how many? How much money did you spend? And homage was actually effectively spent on the campaign s O that those were may 1st things and then it bent on about to some direct mail campaigns. And then, um, some other ad hoc analysis that people wanted to like, did they wanted to see what? The sales? No, what the trade shows did kind of things like that. Then, obviously, then I moved to finance. It was more challenging because I didn't have any finance background at all. All that I had was just the experience working with some analysts and the, uh I obviously knew the core business off snap, but, um, I was supposed to work with the CFO, which was obviously a big responsibility on my shoulder something. He mentored me. And then he showed me what the basics off the, uh, finance things that I would need. Yeah. So it was just Yeah. And then I had to help him put some decks together for business partners for bank partners. So I started learning them. Um, so my CFO isn't big on technology. He's an old guy, obviously, but he wanted more automation. So that's where I started using tableau and are, um oh, are. Obviously, I had some experience in the university, but I took some classes, but tabler was yourself tart, like I had to go through like Google, obviously, and then burned that. So now all my responsibilities include, like, I do sales commissions for the salespeople, ideo weekly and monthly decks with the bank partners. And then I help gross margin. Alice is, um yeah, those are my daily routine activities and not obviously with the data analysis, always enter ad hoc request from teams and other board members that they want to see such on such way and things like that. Yeah, that's my daily thing, but the most I work, it's not. It's not like super like hard core company to work, whether it's like, very simple and we haven't like branches and Costa Guy, our government team lives in Costa Rica, which is good biggest. We both excess in the same time, a time zone. So it's easy for us to like talk to those people. So and there's no, like we have a small team in UK. We helped set them up like the same one of them used to set it up in us. We said, helps Adam, um in the UK as well, but they're marvellous, entirely different. So that was challenging to. But, um, my workers are mostly like from 8 to 6. I just work there and then, huh? Based on some calls with a UK, my arse change. But mostly it's a to six is what I dio, you know?

So basically my day today, his first starting with Excel Sheet, obviously using the look up pivot tables, uh, and like simple formulas and then obviously not everybody's begin technology. So we use Excel sheet for some purposes as well, so that's never dying. So if you were supposed to be a groundless, I would say Hey itself all now. So then tableau, obviously. So that's where we used to build dashboards on our CRM is still hot spot, and we're trying to transition into salesforce in the next couple of months. Um, so, yeah, that's going on. And then I have the data basis, but mostly I'm son that sells is and the most blessed sequel. So I like. I write a lot of complex Berries and post us um, and then use those queries to build a tableau, dashboard and then hum schedule it and then have them subscribed to e mails that they want to receive about various dashboards. So that's basically it. And now that tableau so are later said, has become pretty large. So we don't know if XLR eight of us or tableau is effective and handling all those. So we moved to our which is, and mostly our studios to be specific. So obviously the analytics teams use a lot of our in prediction, more laying regression and stuff, and we don't do all those kind of stuff were just trying to analyze it. So our studio and presto press toes and Nose People database, which is basically a non relational database eso that's where that's how I used to query them. And now I'm like using our studio to automate most of the tableau dashboards, which makes it easier than interactive as well. So, yeah, our studio has Bean Lake, the most interesting thing that I have always been working with right now. So on then, for obviously I would large with salespeople, and I worked with there's commissions and stuff, all the school with changing the whole scenario of how the commission's work you started using something called All Tricks, which is Ah, another tool that helps people that don't know sequel a lot. So it's basically creating diagrams and then creating, like work flows through that and then you would like Okay, hey, this is my scenario. How do we create a workflow for that? So all tricks helps you in that. And we've been trying to use that as well for sales commissions. So these are the tools that I use a lot and, uh, kind of in my day to day work.