eso How did I get toe today? S So I think, uh, it took a long time. It's Ah, it's a lot of like long. It's a lot of long. It's a long journey. Basically I have a bachelor's and engineering. Then I went to masters and then I got a PH. D S O. It's basically education, Good mentors, Good advice on also good timing and making good deficient Onda. Obviously there are many hurdles and pitfalls, obviously, but never let yourself down on uh, listen, toe the mentors and finding good mentor is the greatest challenge I find found found. You can learn a lot of things in the textbooks, but when there are no answers behind the textbook, what would you do? That's when the mentor and the rial world, you know, help you out. So that kind of what became lucky in the method of the mentors I had in life in grad school Onda the incidents I mean good experiences like I enjoy teaching on good the students learning from what I know, sharing knowledge, good feedback and grij me to be a teacher and I'm really systematic Onda research. If you're going into research path direction like I'm a data scientist. But if you want to become a scientist on some investigator or researcher, have to be systematic patient. Sometimes some things doesn't turn out the way you want. You have to be just patient and keep trying and be systematic about it. So I think that made me what I am today. Uh, solving a problem, solving and being systematic about it. You don't like me toe succeed all the time, but you have to, like, definitely make sure you are x l X selling and making doing things right.

uh, the responsibilities I have. Obviously, I work for a financial form in New York, so it's handling the projects. If any project fails, it's a lot off money. So I have to make sure that team is doing right, making the right deficient and educate the team on. Then, like the deficient making. Sometimes it's so difficult. As you guys know. I mean, like, you know, if you are a stand student like you know, like there's like a physics chemistry, engineering. There's a political er actor. What is the right answer or the right angle? Right and business. It changes. There is nothing called right, and it takes so much time to find the right answer and to understand that when it comes from experience, maybe basically and like you're making yourself or were reading a lot seeing, you know, seeing how people are doing and what are the pitfalls? S a lot of these Ted talks and a lot of these, like, you know, speeches, I think help a lot. Onda Top 10 priorities are obviously like it's actual for my Lincoln. It's like excel. Basically, Onda provide a reliable solutions, and trust is most important. You can be such a rocket scientist. What if people don't trust you, right? Like you can't do much even with us history, right with your politicians, like with the government in our doesn't trust, you can't succeed it so much extra pressure for you have to gain that trust. And then it will be easy for you to be more creative and innovation. So the top three priorities you excel reliable, really providing reliable solution and keeping the gaining and keeping the trust, uh, on the weekend hours are flexible. I don't have a 96 job, usually sometimes it goes after six because I might hit a momento made like four o'clock right after lunch or coffee. And I don't want to stop because it would stop it. I have to pick it up, and sometimes you don't know you will be in that zone. So sometimes I work till seven or eight. Especially nowadays working from home. There is no, like going home like Bell, so I try to try to end it at six, but sometimes go still eight or something.

good question. So I am right now. It'll data science, but I'm a data scientist. Technically, so I use, uh, we use like a python R r is my favorite. It's a statistical prop programming language. Python, as you all know, like a scripting language. It's also popular data science or programming language. Onda, We use, like, you know, sequel databases. No sequel databases frameworks. We don't use many frameworks. I mean, obviously there is, like, Apache Spark and some frameworks zero Microsoft as your r sum of, like, most popular or frameworks of the industry uses for data in the big data, but we don't use We have, like in house, like some databases and architectural. Uh, and obviously we want to hear my nature on algorithms. Eso I deal with a lot off. We deal with a lot of unstructured text data, which is ah, whole different game. Many times, people dio many data centers to machine learning with structure data, but I'm structured data. We have, like, millions off text documents that we have to go through scan for the right information so our clients get value office. So we use machine learning, obviously, like, you know, logistic regression neural networks that I know for us on natural language processing. We do a lot off, like sentiment analysis, information extraction on, uh, in a word, embedding topic modeling and stuff like that. Uh, the languages I came like our our Python sequel. We also use manga Libyan elastic. So those are no sequel. So if you're becoming a data scientist, definitely become an expert in tight on our our aan den sequel is important. It's very simple to and try toe get familiarized with one mongo. No, no sequel database to just like to put it on your resume and say that you know something about it.