Борис

CONTACTS:

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BORYS GULKEVYCH
Борис Гулкевич
TECHNICAL SKILLS:

ABOUT ME: Python (pandas, NumPy, Scikit-learn, TensorFlow, Matplotlib, Seaborn, mlxtend,
scipy)
Enthusiastic and hard-working aspiring analyst with Microsoft Office (Excel, Word, PowerPoint, Access).
strong foundation in math, statistics, data analysis and SQL (MySQL).
machine learning. Ready to take on any challenge and R (tidyverse, ggplot2).
to adapt to environment changes. Among my other GitHub.
skills are stress resistance, strong attention to details, Docker.
resourcefulness, quick learning and creativity.

WORK EXPIERIENCE:
EXPERTISE:
EDIT O R
Data cleaning and preprocessing: experienced in handling
missing, inconsistent, and duplicate data using techniques like «Національний Промисловий Портал» (National industrial portal) |
imputation, normalization, and outlier detection. 2021-2024
Data visualization: skilled in creating clear, effective
Writing news articles and analytical reports about various industrial and economics themes,
visualizations using Matplotlib, Seaborn, Plotly, and Tableau.
creating promotional materials for industrial companies.
Statistical analysis and hypothesis testing: Proficient in
applying statistical methods such as regression, ANOVA, and
hypothesis testing to analyze data. Experienced in A/B testing, EDUCATION:
probability distributions, and interpreting statistical results for
decision-making. MAST E R ’ S AND BAC HELOR’S DEGREE IN S Y S T E M A N A L Y S I S
Descriptive and predictive analysis: Strong knowledge of
2019 - 2 0 2 4 (SYSTEM ANALYSIS OF FINAN C I A L M A R K E T S )
descriptive statistics and predictive modeling, including
regression, classification, clustering, and time-series INSTITUTE FOR APPLIED SYSTEM ANALYSIS of the National Technical
forecasting. University of Ukraine «IGOR SIKORSKY KYIV POLYTECHNIC INSTITUTE»
Reports and data-driven insights: Skilled in synthesizing
complex data into concise reports, research papers, and KYIV S C H O OL № 200
executive summaries.
Graduated in 2019
Research and verification of information on different topic,
finding source for news, reports and other information.
Writing articles and reports on specified topics or events.
Analysis of financial data and building reports reports based HACKATON EXPIERIENCE:
on it.

2022 IASA Data Science Champ
LANGUAGES: 2024 IASA Data Science Champ
2024 Nasa Space Apps Challenge
Ukrainian - native.
English - fluent.
French - beginner.
CERTIFICATES:

Practical Time Series Analysis - The State University of New York.
Probabilistic Graphical Models - Stanford University.
Financial markets - Yale University.
Econometrics: Methods and Applications - Erasmus University Rotterdam.
Supervised Machine Learning: Regression and Classification - DeepLearning.AI.
Fundamentals of Reinforcement Learning - University of Alberta.
Sample-based Learning Methods - University of Alberta.
Practical Guide to Trading - Interactive Brokers