Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 1


I graduated from the Taras Shevchenko Kyiv National University, where I
earned my Bachelor's Degree in Computer Science from the Faculty of Computer
Science and Cybernetics.
While pursuing a Computer Science degree, I had the opportunity to engage
in a wide range of technical courses and learn various cutting-edge technologies,
that allowed me to gain practical hands-on experience (from fundamental
programming languages like C++ to specialized courses in artificial
intelligence(Python), database management(SQL), statistical methods for data
processing(Python), building web applications(JS, CSS, HTML), and cloud
computing(GCP))
Throughout my degree, I actively sought out opportunities to work on real-
world projects, collaborating with teams to develop useful and handful
applications. One of that projects was my graduate work “System of computer
modeling and Analysis of human movements in rehabilitation centers”. It gave me
invaluable experience leading a team of three students and participating in a real
computer-vision project (OpenPose, Pytorch). These have not only strengthened
my technical skills but have also taught me the importance of problem-solving,
teamwork, and adaptability in the rapidly evolving field of data science.
Beside of participating in different freelance projects, I got my first Data
Scientist job in the autumn of 2022. There I’ve got an experience in web scraping
(BeautifulSoup), cleaning, and parsing unstructured data; writing scripts for bulb
database (Postgres) updating and insertion; also, conducting analytics on gained
data. This was a versatile experience, but I’ve decided for myself to move forward
more into the machine learning industry. My latest machine learning projects are
“Predictive Analytics for Hospital Readmissions” and “Fraud Detection in Financial
Transactions”, where I implemented the whole pipeline starting from Data
preprocessing and Feature engineering and ending with model testing and
deployment. Mostly I used popular Python libraries such as Pandas and Sci-kit
Learn, and for model deployment Flask or Gradio.
I believe machine learning will revolutionize the industry so I’d like to be a
part of it.