Андрій

ANDRII KLYMCHUK
DATA ANALYST
Ternopil, Ukraine • [відкрити контакти](див. вище в блоці «контактна інформація») • [відкрити контакти](див. вище в блоці «контактна інформація»)
Telegram • Linkedin
SUMMARY
I have 1 year of commercial experience as Data Analyst in IT. Detail-oriented Data Analyst with a strong
mathematical background, skilled in building end-to-end analytical pipelines from complex SQL queries and
Python data cleaning to interactive Tableau visualizations. I like data analysis and I want to further develop in
this field.
SKILLS
Hard Skills Soft Skills
Data Analysis and Visualization Analytical and critical thinking
SQL and Database Management Self-motivated learner
Statistical Analysis Ability to explain complex things in simple
Tools: Google Sheets, Python(pandas, numpy, language
matplotlib), Tableau Adaptability
LANGUAGES
English - B2
Ukrainian - Native
WORK EXPERIENCE
Genesis 2025 - Present
Data Analyst
Developed an automated data pipeline using Python (Pandas) to extract, convert, and merge data
from various non-standard formats, reducing data preparation time by 40%.
Cleaned raw telemetry datasets by removing outliers and applying filtering algorithms, increasing the
accuracy of final calculations and Matplotlib visualizations by 15%.
Engineered optimized SQL queries in PostgreSQL to aggregate multidimensional data, reducing
execution time for complex analytical extracts by 25%.
Built interactive Tableau dashboards and automated Google Sheets reports to visualize key
performance metrics, saving up to 5 hours of manual work per week.
PROJECT EXPERIENCE
Ecommerce funnel
Tools: BigQuery, SQL, Tableau.
Description: dashboard for analyzing conversions in an online store.
My tasks: using SQL, queries were written, which would result in a table with the necessary data, after
which charts with key metrics were visualized
Result: events were identified that most affect the probability of purchase, recommendations were
formulated for improving the user journey.
Sales and profit determination, delivery analysis
Tools: Tableau.
Description: An interactive dashboard was built to visualize sales, profits, and delivery quality, and
identify weaknesses in these indicators
My tasks: A time series was created showing orders. Delivery quality was analyzed and visualized on
a map.
Result: Categories with the lowest profitability and delivery delays were identified.
EDUCATION
Data Analystics course May 2025 - Nov 2025
GoIT School
Bachelor of Computer Engineering
Ternopil Ivan Puluj National Technical University
Erasmus+ Exchange Program: University of Applied Sciences in Nysa, Poland
Key Coursework: Probability Methods, Database Systems
Language of Instruction: English
Additional Courses:
CS50’s Introduction to Databases with SQL - Harvard University
Data Analysis with Python - freeCodeCamp
Kaggle Learn (Data Science & Machine Learning) - Kaggle