Максим

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Maksym Harbuz [відкрити контакти](див. вище в блоці «контактна інформація»)
Telegram [https://t.me/vrgmed]
DATA ANALYST
LinkedIn
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Kyiv, Ukraine, remote


SUMMARY

Data Analyst with hands-on experience in end-to-end data analysis, from SQL data extraction in BigQuery to
statistical analysis in Python and data visualization in Tableau and Power BI. Strong analytical and
problem-solving skills, with a focus on transforming raw data into actionable business insights and data-driven
recommendations. A Bachelor's degree in Medical Biology provides a strong foundation in research, critical
thinking, and evidence-based analysis, complemented by experience coordinating cross-functional teams.

SKILLS

● Spreadsheets: Pivot Tables, Data Cleaning, Visualization
● SQL: Advanced Queries, Window Functions, Query Optimization, Common Table Expressions (CTE)
● Python: Pandas, NumPy, Matplotlib, Seaborn, Exploratory Data Analysis (EDA)
● Tableau: Interactive Dashboards, Data Storytelling, Publishing
● Statistics: Sampling, Hypothesis Testing, Correlation, Statistical Significance
● A/B Testing: Planning, Analysis, Reporting
● Other Tools: Jupyter Notebooks, Google Analytics, Excel, Git
● Languages: English (Upper-Intermediate), Polish (Upper-Intermediate)

EXPERIENCE

EXPERIENCE
Data Analyst Projects | Sep 2025 – Jul 2026

● Analyzed and transformed business datasets using SQL, Python, Excel, and Google Sheets, identifying
trends, patterns, and key performance indicators.
● Built interactive Tableau and Power BI dashboards to visualize business metrics and support
data-driven decision-making.
● Applied statistical analysis and hypothesis testing to evaluate business scenarios and distinguish
meaningful patterns from random variation.
● Developed end-to-end analytical workflows, from data extraction and cleaning to analysis,
visualization, and actionable recommendations.

PROJECTS

E-commerce Sales Analytics

SQL (BigQuery) · Python · Tableau

● Analyzed e-commerce data to identify sales trends, seasonal patterns, customer behavior, and key
revenue drivers.
● Built SQL queries in Google BigQuery to combine and transform data from multiple sources for further
analysis.
● Developed an interactive Tableau dashboard with revenue, conversion, and regional KPIs, translating
analytical findings into actionable business recommendations.

A/B Test Significance Analyzer

Python · Pandas · NumPy · SciPy · Jupyter Notebook

● Designed an A/B testing analysis workflow to compare conversion and user behavior between control
and experimental groups.
● Applied statistical hypothesis testing to evaluate whether observed differences were statistically
significant.
● Translated statistical results into clear business conclusions and recommendations, supporting
data-driven decision-making.

Portfolio:

Project 1 (Jupyter notebook, SQL, Python, Tableau Projects) – [E-commerce Sales Analytics]
● Link to review

● Built an end-to-end BigQuery SQL → Python → Tableau pipeline on 50K+ sessions, integrating 6 tables
while preserving guest sessions.
● Validated significant differences in session revenue by newsletter subscription (Mann-Whitney, p<0.05)
and organic traffic share across regions (two-proportion z-test).
● Uncovered an acquisition–conversion gap: mobile drove 62% of revenue, while desktop converted
better, guiding checkout UX priorities.


Project 2 (Python Projects) – [A/B Test Significance Analyzer]
● Link to review

● Automated A/B test evaluation with a Python script using a two-proportion z-test, replacing manual
online calculators and enabling scalable analysis across metrics and experiments.
● Detected and fixed a hidden conversion-counting error caused by event-based COUNT instead of
binary conversion flags, revealing ~2× more actual conversions and validating the fix with direct SQL
queries.
● Developed an interactive Tableau dashboard with test-level filtering and color-coded statistical
significance, enabling faster decision-making for non-technical stakeholders.

/PREVIOUS EXPERIENCE/

English and biology tutor, Nov 2024 – present
Technologies or Tools: [Microsoft Word, Microsoft excel]

Results:
1. The student passed an exam in London and confirmed her high level of knowledge of the English
language.
2. The student is a winner of the regional Olympiad in English.

EDUCATION
Institution [Maria Curie Skłodowska University in Lublin]
Qualification and Degree [Bachelor Degree in Medical biology]
Dates Attended [2021 - 2024]

ADDITIONAL EDUCATION
● Data Analyst course at Mate academy

ACHIEVEMENTS
● Green belt in aikido
● Bronze medal at regional grappling competition
● 199/200 score on external Ukrainian examination.