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ILLIA KONDRATENKO Profile

JUNIOR DATA-ANALYST
Aspiring Data Analyst and results-driven systems thinker,

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
[відкрити контакти](див. вище в блоці «контактна інформація»)
structured, data-driven conclusions that lead to measurable

[відкрити контакти](див. вище в блоці «контактна інформація»)
business impact. Quick to master new tools and focused on

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clear, actionable insights.

inkedin.com/in/illia-
https://www.l

kondratenko-677074362?
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, Statistical Analysis, Data Cleaning.

Professional Experience
Data Visualization & Tools:
Retail Operations Associate, Syrne Korolivstvo

Kyiv, Ukraine (December 2024 – August 2025)

MS Excel, PowerBI, Google Sheets.
Provided direct customer support to discuss orders,

recommend products, and facilitate sales transactions.

Handled all cash transactions and processed sales using the
Soft Skills:
Point-of-Sale (POS) system, ensuring financial accuracy.

Analytical Thinking, Proactive Mindset,
Resolved customer inquiries and managed high-volume client
Attention to Detail, Problem Solving,
flow, ensuring service quality during peak hours.
Communication, Teamwork.


Data Analysis Projects
Languages:

Ukrainian (native), Russian (native), English (B1) Residential Rental Market Analysis

Stack: Python (Web Scraping, Pandas),

Power BI (DAX, Power Query).

Built a custom web scraper to extract and structure real estate
COURSES data from property listing websites.

Developed a multi-page interactive Power BI dashboard to
visualize rental market trends, pricing distributions, and location-
Data Analyst in Python , DataCamp |2025
based insights.

Mastered the end to end data analysis workflow in Key Finding: Identified key geographic and structural factors driving
Python (Pandas, NumPy),
rental prices, enabling data-driven decisions for property
covering data cleaning, EDA, and statistical evaluation.
hypothesis testing.

GitHub Link

Analytics Intensive, Skelar | 2025
B razilian E-Commerce Analysis

Solved real world business cases focusing on product Stack: SQL, Python (Pandas, Matplotlib, NumPy), EDA, Data
metrics (LTV, Retention ) and unit economics.

Cleaning.

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

Cleaned and merged complex relational datasets using Pandas to
BI, Microsoft | 2026
prepare data for deep analysis of product categories.

Completed a specialized course authorized by Key Finding: Discovered a strong correlation between delivery
Microsoft via Coursera. Mastered data ingestion, delays and low review scores, identifying logistics optimization as
cleaning, and transformation techniques using Power the primary lever for improving customer satisfaction.

Query and Power BI to prepare robust datasets for
analytical modeling. GitHub Link