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Data analyst
Considering positions:
Data analyst, Data scientist, Product analyst, ML Engineer
City:
Kyiv
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YATHENKO ILYA
Data Analyst
Email: [open contact info ](look above in the "contact info" section) | Location: Kyiv | Linkedin
PROFILE
Aspiring Data Analyst with a strong foundation in Data Science principles. Possesses
strong analytical, communication, and problem-solving skills, with a proven aptitude for
mastering new technologies quickly. Eager to apply technical expertise and analytical
abilities in a challenging professional environment
SKILLS
Programming Languages: Python, C++,
Data Analysis & Manipulation: Pandas, NumPy, Google Sheets, SQL (PostgreSQL)
Data Visualization: Tableau, Power BI, Matplotlib, Seaborn
Machine Learning: Scikit-learn, XGBoost, LightGBM, Optuna
Tools & Version Control: Git, GitHub
Mathematical Foundations: Statistics(A/B testing), Probability Theory, Linear
Algebra, Calculus, Combinatorics
Project: Credit Risk Data Analysis
Analyzed Customer & Loan Data: Performed a comprehensive analysis of the credit risk
dataset to identify the primary factors leading to loan defaults.
Delivered Actionable Insights: Revealed that loan grade, loan purpose, and homeownership
status are critical predictors of risk. This allows the business to refine its lending strategy and
focus on higher-quality loan applicants.
Business Impact: The findings provide a clear framework for improving credit screening
processes, helping to minimize financial losses from bad loans and increase the profitability
of the lending portfolio.
Project: E-commerce Customer & Sales Analysis (Olist Marketplace)
Performed customer segmentation using RFM analysis to identify high-value "Champions"
and "At-Risk" customers. This provides a clear path to increasing retention with targeted
marketing campaigns.
Identified top-performing product categories and sales trends, delivering actionable
insights for inventory management, procurement, and promotional planning to maximize
revenue.
Business Impact: The analysis provides a data-driven foundation for enhancing customer
loyalty, optimizing the supply chain, and making strategic decisions to drive sales growth
and profitability.
EDUCATION
Taras Shevchenko National CERTIFICATIONS
University of Kyiv Skelar Analytics Intensive
B.Sc. in Computer Science, Faculty
Associate Data Analyst
of Computer Science and
Tableau Fundamentals
Cybernetics
SQL Fundamentals
GPA: 91.6/100
Data Analyst
Email: [
PROFILE
Aspiring Data Analyst with a strong foundation in Data Science principles. Possesses
strong analytical, communication, and problem-solving skills, with a proven aptitude for
mastering new technologies quickly. Eager to apply technical expertise and analytical
abilities in a challenging professional environment
SKILLS
Programming Languages: Python, C++,
Data Analysis & Manipulation: Pandas, NumPy, Google Sheets, SQL (PostgreSQL)
Data Visualization: Tableau, Power BI, Matplotlib, Seaborn
Machine Learning: Scikit-learn, XGBoost, LightGBM, Optuna
Tools & Version Control: Git, GitHub
Mathematical Foundations: Statistics(A/B testing), Probability Theory, Linear
Algebra, Calculus, Combinatorics
Project: Credit Risk Data Analysis
Analyzed Customer & Loan Data: Performed a comprehensive analysis of the credit risk
dataset to identify the primary factors leading to loan defaults.
Delivered Actionable Insights: Revealed that loan grade, loan purpose, and homeownership
status are critical predictors of risk. This allows the business to refine its lending strategy and
focus on higher-quality loan applicants.
Business Impact: The findings provide a clear framework for improving credit screening
processes, helping to minimize financial losses from bad loans and increase the profitability
of the lending portfolio.
Project: E-commerce Customer & Sales Analysis (Olist Marketplace)
Performed customer segmentation using RFM analysis to identify high-value "Champions"
and "At-Risk" customers. This provides a clear path to increasing retention with targeted
marketing campaigns.
Identified top-performing product categories and sales trends, delivering actionable
insights for inventory management, procurement, and promotional planning to maximize
revenue.
Business Impact: The analysis provides a data-driven foundation for enhancing customer
loyalty, optimizing the supply chain, and making strategic decisions to drive sales growth
and profitability.
EDUCATION
Taras Shevchenko National CERTIFICATIONS
University of Kyiv Skelar Analytics Intensive
B.Sc. in Computer Science, Faculty
Associate Data Analyst
of Computer Science and
Tableau Fundamentals
Cybernetics
SQL Fundamentals
GPA: 91.6/100
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The candidate's resume is posted at https://www.work.ua/resumes/15428260/