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Олександра

Аналітик

City of residence:
Kyiv
Ready to work:
Remote

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OLEKSANDRA YAKOVENKO
Data Analyst

CONTACT PROFILE
[open contact info](look above in the "contact info" section) Data Analyst skilled in SQL, Python, statistics, and BI
[open contact info](look above in the "contact info" section) dashboards, with a strong analytical background backed by

Telegram IELTS 8.0, 200/200 in Mathematics on the Ukrainian NMT,

LinkedIn and regional Mathematics Olympiad awards. Focused on
turning raw data into clear insights and communicating them
Warsaw, Poland
effectively to business and technical audiences.

EDUCATION
National Technical University of Ukraine WORK EXPERIENCE
‘Dnipro Polytechnic Institute’
DATA ANALYST
2023 - 2027
Hay Credito
BSc in Computer Science
Jul 2026 - Present

CERTIFICATIONS Analyze financial and credit data, build reports and
dashboards, and deliver insights to support business
Data Analyst course at Mate academy
decisions.
IBM Data Analyst Professional Certificate
Write and optimize SQL queries, automate recurring
at Coursera
analysis, and identify trends, anomalies, and process
Data Scientist: Machine Learning Career
improvement opportunities.
Path at Codeacademy

SKILLS DATA SCIENCE INTERN

Spreadsheets: Pivot Tables, Data MODUS X
Cleaning, Visualization Aug 2025 - Jan 2026

SQL: Advanced Queries, Window Built and optimized Microsoft 365 Copilot AI agents
Functions, Query Optimization, Common using large-scale energy data and performance
Table Expressions (CTE) metrics.
Python: Pandas, NumPy, Matplotlib, Delivered data-driven insights to stakeholders and led
Seaborn, Exploratory Data Analysis (EDA) internal AI adoption webinars.
Tableau: Interactive Dashboards, Data
PORTFOLIO
Storytelling, Publishing
Statistics: Sampling, Hypothesis E-COMMERCE SALES PERFORMANCE ANALYSIS
Testing, Correlation, Statistical Analyzed e-commerce sales performance across products,
Significance regions, channels, devices, and users using SQL, Python,
A/B Testing: Planning, Analysis, and Tableau.
Reporting Link to review
Other Tools: Jupyter Notebooks, Google
Analytics, Excel, Git A/B TESTING SIGNIFICANCE ANALYSIS TOOL

Languages: English (Advanced), Analyzed A/B test results and statistical significance across
Ukrainian (Native), Russian (Native), key funnel metrics using BigQuery SQL, Python, and Tableau.
Link to review
Polish (Beginner)

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