Maksym

Max Hrechanik
Data Analyst
Curious and detail-oriented aspiring Data Analyst passionate about
uncovering hidden patterns and insights. Skilled in Python, SQL,
Excel, Power BI, Tableau, and Looker Studio. Eager to apply analytical
thinking and creative problem-solving to deliver data-driven business
value.

CONTACTS PROJECT EXPERIENCE
[відкрити контакти](див. вище в блоці «контактна інформація»)
[відкрити контакти](див. вище в блоці «контактна інформація»)
A/B Testing Subscription Conversion Optimization
linkedin t.me
Technologies: Python, Pandas, SciPy, Visualization
Lviv, Ukraine Description: Ran an A/B test comparing the standard $4.99
paywall vs. a “50% discount” version.
HARD SKILLS Tasks: Analyzed user data, calculated conversions, applied
Data analysis and visualization statistical testing, built visuals.
Data cleaning and transformation Result: Variant B increased conversion 6.1% → 8.9% (significant).
SQL querying and database Recommended rollout.
management
Statistical analysis and reporting
Dashboard creation and KPI Ecommerce Funnel (GA4 + BigQuery + Tableau)
tracking
Problem-solving and analytical
thinking Technologies: BigQuery, SQL, Tableau
Working with large datasets and Description: Built a full eCommerce funnel using GA4 BigQuery
Excel automation data.
Tasks: Developed SQL queries to merge data sources, calculate KPIs
such as CPC, CPM, CTR, and ROMI.
SOFT SKILLS Result: Delivered a comprehensive view of marketing performance
and optimized reporting accuracy.
Adaptability and growth mindset
Friendly and collaborative attitude
Strong teamwork and
communication skills
Creative and analytical thinking Top Weekly Campaign by Value
Persistence and attention to detail Technologies: SQL, BigQuery (CTE, aggregation)
Problem-solving and critical Description: Identified the advertising campaign with the
reasoning highest weekly total value across Google and Facebook Ads.
Striving for excellence and Tasks: Implemented UNION of datasets, grouped data by
precision campaign and week, and calculated total revenue per period.
Result: Provided insights for selecting top-performing
campaigns for future optimization.
TOOLS
Python (Pandas, NumPy,
Matplotlib)
SQL (PostgreSQL, MySQL) WORK EXPERIENCE
Power BI, Tableau, Looker Studio
Microsoft Excel, Google Sheets Kitchen Staff / Line Cook
Jupyter Notebook, VS Code
Various Restaurants | 2020–2024
Worked in a fast-paced, high-pressure environment ensuring
LANGUAGES efficiency and consistency.
English - intermediate Maintained excellent attention to detail and accuracy in task
Ukrainian - Native execution.
Collaborated effectively within a team to meet operational goals
EDUCATION and improve workflow.
Developed strong organizational and problem-solving skills
IT School GoIT — Data Analysis applicable to data-driven work.
2025
Higher Vocational School №19 —
Software Operator 2015–2019