Особисті дані приховані

YURII KUCHERIAVYI
Junior Data Scientist / Data Analyst
ABOUT ME
Data Scientist with a strong foundation in statistics and applied
mathematics, currently pursuing a Master’s degree in Applied and Theoretical
Statistics at Taras Shevchenko National University. Developed advanced skills
in Python, R and SQL through academic projects, simulations, and online
courses. Experienced in building predictive models, hypothesis testing and
analyzing complex datasets. Strong analytical thinking, quantitative problem-
solving abilities, and experience in collaborative project work.

EXPERIENCE
Academic Projects: Robust Regression & Theoretical Validation 2024 - 2025
1. Estimation of Regression Coefficients Using the Repeated Median Method.
Implemented robust regression in R and simulated data under various distributions.
Analyzed bias/variance and visualized robustness vs. OLS under outliers.
2.Validation of Theoretical Regression Variance Coefficients.
Reproduced and tested a published regression variance formula via simulations in
R. Verified theoretical results and assessed statistical theorem performance.

CONTACT MHP : Jul. 2024 - Aug. 2024
Project Assistant
[відкрити контакти](див. вище в блоці «контактна інформація»)
Collaborated with a team to coordinate tasks and meet project
[відкрити контакти](див. вище в блоці «контактна інформація») deadlines.
[відкрити контакти](див. вище в блоці «контактна інформація») Gained experience in teamwork, problem-solving, and effective
1ab46936b communication.
Kyiv, Kyiv City, Ukraine Institute of Mathematics NAS of Ukraine: Jan. 2024 - Mar. 2024
https://github.com/YuraKucher Student Internship
Attended lectures on advanced mathematics (applications in computer vision,
topology, and data algorithms).
Authored a Wikipedia article on mathematical research, gaining skills in
academic writing and knowledge structuring.
Improved understanding of scientific documentation, research workflows, and
EXPERTISE tools for data science.
Course Project: SQL-Based Library Database Mar. 2023 - May 2023
Python Programming Designed and implemented a relational database system for managing a
library using SQL.
R Programming Built multiple interrelated tables, defined keys and constraints, and created
SQL complex queries (JOINs, aggregate functions).
Applied data normalization principles and learned to structure and document
Statistics databases efficiently.

Machine Learning
EDUCATION
Mathematics
Taras Shevchenko National University of Kyiv:
Data Science
Master’s Degree – Applied and Theoretical Statistics 2025 – Present
Data Analysis
Feature Engineering Bachelor’s Degree – Statistics 2021 – 2025
Git
LICENSES AND CERTIFICATES
LANGUAGE
IBM: Databases and SQL for Data Science with Python 2025
Ukrainian: Native
IBM: Python for Data Science, AI & Development 2025
English: B1
Google: Machine Learning Crash Course 2025
Prometheus: Data analysis and statistical inference in R 2025
LearnQuest: Introduction to Data Science and scikit-learn in Python 2024