e mean, don't go too far as faras childhood. I'm I'm immigrant, of course. I was born in Haiti and moved here with my family when I was 11 years old, went to school down in Pompano Beach, Florida, and ended up getting a chance to go to school at Florida State University and through a program called The Care Program for Minority Students. Well, I was there. I studied psychology and sociology, and I learned a lot about what you think about the world and the world itself. But once I got out of school and try to look for a career or at a hard time, finding a career because social work itself is just a tough, feel, too final career with suitable income and things like that in there, Um, once I kind of realized that field wasn't much. There wasn't much room for me to grow in that field. I kind of pivoted careers I went back to school at. If I You and I started to look at their programs, they offered, and I picked their MBA program because it seemed like it gave me the most options. As far as what I could do with my future. And when I was in that program, I learned about the Data Analytics boot camp that was going on in Miami called Iron Hack. And they had E guess, a good track record of helping students that were previously doing other careers or any type of career before was being restaurant waiters or any type of car. You can think of coming to their boot camp and become Web Dev's and become software engineers and become us. You are designers, and they started this new class for data science, which was in line with my MBA program. So I kind of took the chance and quit my job and applied to the boot camp, and I got accepted. And once I got in and kind of started going through the course work, I've seen that it was something I could really do. And I fell in love with it even more, and it was kind of sinking up with my MBA program at the time, so it was kind of a blessing at the time, and once I kind of finished with the boot camp. It was a tough process waiting for the hiring because it was kind of like blind faith, in a sense, but they kind of guided me through it, and I had kind of did my own due diligence. It kind of just doing the research and finding people to connect with and networking and being on, like they're looking for recruiters myself and message and recruiters about different opportunities and things like that. Eventually, after knocking on doors and about two or three months, I ended up getting a job at Telemundo as a data analyst, and so that kind of like changed my career trajectory completely over the that year span. So in the last year, I've been working at telling Window, and we've been positioning from working from home and dealing with Kobe and everything like that, so that's what we've kind of been up to them.

um, As a data analyst, I would say, um, responsibilities come down to managing the different reporting suites we have, I guess, is keeping our data stream line in the sense to where we can answer questions relatively quickly. So once I guess we would essentially function that kind of as kind of a brain for the company in terms of like supporting decision making, for generating revenue or generating streams or generating views or things like that different KP ice where the company itself, um, decision making and decision making recommendations we come up with, I guess is we have We're in charge of looking at the information or the data that we have and kind of like being able to translate it into something that can actualize in terms of the revenue teams and marketing teams or different apartments that come to us with questions.my pain points for me. I'm translating into this career was kind of just learning the corporate culture. I didn't come from a corporate job before coming from social work, so I learned to kind of like become, uh well, first, becoming a true entry level in the corporate world was kind of transition for me, but just learning to manage up to my manager, take a portion of my project's taking initiative, being confident in myself, always checking my work to make sure we're not giving them bad data. And we're not giving them bad information on just doing my own due diligence there. But other than that, I feel that most jobs specially the data science field, we get a lot of room to learn. It didn't that it's a new industry, so kind of just taking the time to really in my impossible syndrome and kind of just breathe in and relax and take the time to understand what I'm doing and be confident in it. And that's been helpful a lot in this past year and just getting adjusted. And that's helped me take initiative. Maurin, the project that even giving me

So for my job being that we're kind of in your analytics department, we didn't do too much higher language. We don't do too much higher language on a day to day, but we do sometimes my main language that I use python. I love working in python. Other than python, I use a bit of sequel and ah, lot of the different technologies that guess have predicted tools like amplitude domo all tricks and things like that that those platforms on the mainland we use particularly domo domo is very key to our structure infrastructure.