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ILLIA KONDRATENKO Profile
Aspiring Data Analyst and results-driven systems thinker,
JUNIOR DATA-ANALYST currently specializing in Information Systems and Data
Analytics. Possessing a foundation in SQL, Python, and
Kyiv, Ukraine statistical methods, with a proactive mindset and proven
reliability in professional settings. Dedicated to delivering
[открыть контакты](см. выше в блоке «контактная информация») structured, data-driven conclusions that lead to measurable
business impact. Quick to master new tools and focused on
[открыть контакты](см. выше в блоке «контактная информация»)
clear, actionable insights.
@kondrat1_3

education
CORE SKILLS Bachelor of Science (B.S.) in Systems Analysis

State University of Trade and Economics

Data Analysis & Programming:
Kyiv, Ukraine | Expected Graduation: 2028

Educational Program in Big Data Analysis Technologies
Python (Pandas, NumPy, Matplotlib,
Seaborn, SciPy), SQL (JOINs, Aggregate
Functions, Querying), A/B Testing, Professional Experience
Statistical Analysis, Data Cleaning.

Retail Operations Associate, Syrne Korolivstvo

Kyiv, Ukraine (December 2024 – August 2025)

Provided direct customer support to discuss orders,
Data Visualization & Tools:
recommend products, and facilitate sales transactions.

MS Excel, PowerBI, Google Sheets.
 Handled all cash transactions and processed sales using the
Point-of-Sale (POS) system, ensuring financial accuracy.

Resolved customer inquiries and managed high-volume client
Soft Skills:
flow, ensuring service quality during peak hours.
Analytical Thinking, Proactive Mindset,

Attention to Detail, Problem Solving,
Data Analysis Projects
Communication, Teamwork.

Mobile Game A/B Testing Analysis

Stack: Python (Pandas, SciPy, Seaborn), Statistical Analysis.

Languages:
Analyzed user retention data (90,000+ players) to evaluate
the impact of moving a game level gate on player
Ukrainian (native), Russian (native), engagement.

English (B1) Conducted hypothesis testing (Bootstrap analysis) to
determine the statistical significance of the A/B test results.

Key Finding: Concluded that moving the gate to level 40
negatively impacted 7-day retention, leading to a data-
COURSES driven recommendation to keep the gate at level 30 to
maximize player engagement.
Data Analyst in Python , DataCamp |2025
GitHub Link
Mastered the end to end data analysis
Brazilian E-Commerce Analysis

workflow in Python (Pandas, NumPy),
Stack: SQL, Python (Pandas, Matplotlib, NumPy), EDA, Data
covering data cleaning, EDA, and Cleaning.

statistical hypothesis testing.

Performed Exploratory Data Analysis (EDA) on a real-world
dataset of 100k+ orders to uncover trends in sales and
logistics.

Analytics Intensive, Skelar | 2025
Cleaned and merged complex relational datasets using
Pandas to prepare data for deep analysis of product
Solved real world business cases focusing categories.

on product metrics (LTV, Retention ) and Key Finding: Discovered a strong correlation between
unit economics. delivery delays and low review scores, identifying logistics
optimization as the primary lever for improving customer
satisfaction.

GitHub Link