Максим

MAKSYM LIAKH DATA ANALYST

CONTACT [open contact info](look above in the "contact info" section) Telegram
[open contact info](look above in the "contact info" section) LinkedIn
Katowice, Poland, remote GitHub

SUMMARY Data Analyst with hands-on experience in building automated analytical pipelines, optimizing
SQL queries, and converting raw tracking data into actionable product insights. Proficient in
leveraging Python (Pandas, SciPy) and advanced SQL (CTEs, Window Functions) to extract,
clean, and segment complex datasets. Skilled in design and deployment of interactive Tableau
dashboards to monitor core business metrics and drive data-led decisions. Experienced in
conducting end-to-end A/B test evaluations and applying statistical methods to validate
hypotheses and eliminate analytical bias.

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)

EXPERIENCE Data Analyst (Project-based)

Lead end-to-end data analysis, modeling, and visualization for various domains (E-
commerce, Gaming, SaaS, and Wholesale), translating raw data into actionable product and
marketing insights.
Clean, process, and analyze large-scale datasets (up to 85K+ records) using Python
(Pandas, NumPy) and SQL.
Design and automate analytical pipelines, including statistical hypothesis testing (A/B
testing) and product metric frameworks.
Build interactive BI dashboards (Tableau, Google Sheets) to communicate key performance
indicators (KPIs) and drive data-backed business decisions.

PORTFOLIO Sales Analysis | Python (Pandas, SciPy, Seaborn, Matplotlib), SQL, Tableau [GitHub Link]
Conducted a comprehensive analysis of user behavior and marketing channel performance
based on an 88-day tracking dataset.
Explored data correlations between user registrations, traffic sources, and revenue
generation.
Identified key drivers influencing conversion rates and delivered actionable insights to
optimize marketing strategy and spend.
 Steam Market Analysis | Python (Pandas, SciPy, Seaborn, Matplotlib), SQL [GitHub Link]
Investigated the Steam gaming ecosystem by processing and analyzing a dataset of over
85,000 game titles.
Applied a data-driven approach to construct a statistical model outlining a "formula for
success," differentiating market hits from average releases.
Uncovered key correlations between product features and popularity metrics, visualising
results to present clear, data-backed insights.

A/B Testing Automation Tool | Python, Tableau [GitHub Link]
Developed an automated analytical pipeline for A/B test evaluation based on statistical
significance testing (Z-test, p-value calculations).
Implemented data segmentation by multiple parameters (country, device, acquisition
channel), enabling flexible analysis regardless of data volume.
Built an interactive Tableau dashboard to visualize core product metrics, enabling the
business to make fast, data-driven implementation decisions.

Sales & Inventory Optimization | Google Sheets (ABC Analysis, Pivot Tables, Data
Visualization) [Project Link]

Executed a comprehensive sales analysis of over 1,300 orders for a wholesale supplier,
aimed at product assortment optimization.
Conducted a multi-metric ABC analysis (revenue, units sold, net profit) to classify products
by performance, velocity, and profitability margins.
Detected margin anomalies across specific product categories, providing optimization
insights for stock management.

EDUCATION Igor Sikorsky Kyiv Polytechnic Institute (NTUU "KPI")

Institute for Applied System Analysis (IASA)

Degree: Bachelor in System Analysis (2024 - Present)

ADDITIONAL Mate Academy [Certificate]
EDUCATION
Course: Data Analyst

Intensive, practice-driven program focused on professional
data analytics and end-to-end project delivery.