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

Top-5 student at Ukrainian Catholic University (UCU) during the last three years. ML\DS internships at UCU, West Virginia University, and New York University.

For international projects: Besides English, I have a C1 level in German.
I have experience in studying and working with various ML models and DL basics (PyTorch & Keras). Quite more experience with regression analysis, reinforcement learning, clustering and forecasting.

To my recent projects & activities belong:

A two-month internship as Research Intern at WVU Rockefeller Neuroscience Institute. The primary task was to conduct research on applying neural networks to solve inverse-kinematics problems.

A two-month internship at the Center for Responsible AI at NYU. The primary task was to conduct research on demographic data quality in terms of inequality of dirtiness amount within specific demographic data clusters (by race, age group, gender etc.)

A year1.5- internship at UCU Machine Learning Lab. The primary task is to integrate the already constructed mechanism that solves the 4-point problem via homotopy continuation into Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipeline called COLMAP.

Half-year experience as a junior Data Scientist for the Competera pricing platform. Primary tasks include constructing and maintaining forecasting models, and research on Reinforcement Learning applications for pricing optimization.
I am looking for an offer in the Data Science\Analytics domain to apply the aforementioned experience & knowledge.