Yeah, if I Now can you see me? I'm recording.So I guess the beginning would be, um five years ago, I finished college with a degree that had pretty much nothing to do with data. I studied psychology and marketing, and I decided to go into marketing. And, um, while I was working at my first marketing job, I happened to learn a little bit of sequel and Excel, and really just enough to get started into everything that I later became interested in. And these tools I learned partially, just out of curiosity. And also just to based on the problems that we're arising at work, I figured I was looking for solutions to like, specific problems, and those turned out to be what was really helpful for that particular job. Um, so I ended up automating my first marking job mainly with sequel, and that got me really excited about learning mawr data tools. And it was after that job that I took, um, maybe four or five months to intensively learned on. And then I David, a science boot camp at lettuce. Um, and so to jump. Then several months after that, um, I got my first full time data job at Credit Ninja where I currently AM and and I've been there for, ah year and four months doing analysis for the call center. Eso I don't currently have a like, traditional data science role. Um, it's more of an analysis and partially data engineering role. Um, so I don't do machine learning every day like I did in the boot camp, but I'm using a lot of the other skills that I gained during the boot camp each day.

um so I'm primarily responsible for dealing with all of our contact reporting, which includes phone calls, emails, everything with the call center and text messages. And what is, um, one of the hardest parts for my job is to, um take these individual contacts and attribute them to continue to, uh, actions that are taken by the customer. So looking at, for example, to say somebody about a text message and then defined an application or they got an email and then they created an application. Eso This is what I spend most of my time was just trying to figure out different ways that, um, beans actions can be attributed in an effective and automated way.so it's really hard to It's really hard to be like the pioneered A company to do analysis on something that hasn't been analyzed before. I think that's definitely something that I've been challenged with and had to get better at. Um, and I think some strategies more hopeful With that, um can be trying to find a grounding or basis on, um, similar projects that maybe are for, um, done by an outside source or just being able to Napa project by its individual steps of what would be the most important question to answer today. And then tomorrow, what would be the most important question? Answer After that question is answered, Um, some other things that can be hard. Um, it are dealing with a lot of individual pipelines that have toe all rely on each other and being able to monitor how when a change is made, how that could affect ah lot of other pizzas that you weren't necessarily with one. Um, I found it really helpful to create um, dashboards for both each individual pipeline and for one overall, one of that center point where they're all coming together that can keep track of how many rows are there or just values that are different. And how they, um even the things that you wouldn't expect to change potentially could change. Um, yeah, though I think those were probably the main things that I find challenging.

in a role like mine. I think it's well, I am primarily on Lee using Sequel Um, but I am using Python in any way that I can. It's just it's limited in terms off every companies, um, like data infrastructure, how easy it is to just implement a new tool. And it so happens that at the company I'm at, it's harder than I would like it to be to use Python alongside sequel eso. For that reason, Onley, I'm mostly using sequel. But if I could use python every day in everything that I do, I probably would.It's not a machine learning role. So no riel models, Um, the we use a program called Periscope, for which it actually got renamed recently two systems for all data visualizations. Um, but some other tools that I've used that I found really helpful, um, would definitely be JavaScript. And, um, yeah, that mainly.