Олександр

OLEKSANDR Junior Data Analyst with practical experience in data analysis
and product analytics. I work with SQL, Python (Pandas, NumPy),

TYMOSHENKO
Google Sheets, and Tableau. I have analyzed advertising
campaigns, product metrics, and user behavior using cohort
analysis and EDA. I am seeking a Junior Data Analyst role where I
Junior Data Analyst can apply my analytical skills to support data-driven decisions.

[відкрити контакти](див. вище в блоці «контактна інформація») PROJECT EXPERIENCE
oleksand.tymoshenko.da@gmail. CUSTOMER COHORT ANALYSIS
com Tools: SQL, Tableau, Google Sheets
oleksandr_tymoshenko_DA Description:
[відкрити контакти](див. вище в блоці «контактна інформація») Performed customer cohort analysis to evaluate retention, ARPU, and LTV, and
tymoshenko-da to analyze user behavior over time.
Zaporizhzhia, Ukraine Result:
Identified retention patterns across customer cohorts
SKILLS Provided insights into long-term customer value
Data Analysis – KPI tracking,
E-COMMERCE KPI DASHBOARD
cohort analysis, retention,
Tools: SQL, Tableau
LTV, ARPU, conversion rate,
churn analysis Description:
SQL Analytics – query logic, Built an interactive KPI dashboard to analyze e-commerce business
aggregations, joins, performance, focusing on key metrics such as revenue, orders, profit, margin,
subqueries, CTEs, window and AOV.
functions Result:
Statistics & Statistical Enabled clear monitoring of core business metrics
Analysis – descriptive Simplified performance analysis by category and region
statistics, trend analysis, WORK EXPERIENCE
metric comparison National Police of Ukraine
A/B Testing – experiment Police Officer
analysis, hypothesis testing, May 2021 – September 2025
metric comparison Performed operational duties within units of the National Police of Ukraine with
Data Cleaning, Validation & a focus on analyzing incidents, situations, and human behavior. In daily work,
Quality Control – data made decisions based on factual information, risk assessment, and logical
cleaning, data consistency analysis of circumstances.
checks, missing values Key responsibilities:
handling, error detection Analyzing incidents and situations directly at the scene
Data Storytelling – Collecting and verifying information from multiple sources as part of
translating analytical results operational tasks
into clear business insights. Assessing situations to identify root causes and potential outcomes
TOOLS Prioritizing actions based on risk level and available information
SQL – PostgreSQL, BigQuery, Working with unstructured information under time constraints
SQLite Analytical approach:
Python (basic) – Pandas,
Applying logical and critical thinking in decision-making
NumPy (EDA)
Analyzing behavioral patterns and recurring situations
Spreadsheets – Google
Quickly processing information and identifying key factors
Sheets, Microsoft Excel
Making decisions based on facts rather than assumptions
(formulas, pivot tables, data
Achievements:
validation)
BI & Visualization – Tableau, Ensured timely and well-reasoned decisions in complex situations
Power BI (dashboards, KPI Improved response effectiveness through situational analysis
visualization, filters) Developed a structured approach to risk and situation assessment
Other – Jupyter Notebook. EDUCATION
IT SCHOOL “GOIT”|2025 - 2026 ZAPORIZHZHIA NATIONAL
LANGUAGES UNIVERSITY | 2021 - 2024
Data Analysis
English - Elementary Finance, Banking, and Insurance
Ukrainian - Native Bachelor’s degree