Тетяна

TETIANA PIRNAT
DATA ANALYST
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SUMMARY
Motivated Data Analyst with practical experience in SQL, Python, Tableau and statistical analysis through
real-world analytics projects. Experienced in data extraction, cleaning, visualization, KPI reporting and A/B
test analysis to support business decision-making. Strong analytical and technical background developed
through engineering experience, with excellent attention to detail and problem-solving skills. I want to
transform data into meaningful insights and am excited to contribute to business growth as part of a
collaborative data team.
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: Google Analytics, Excel, Git
Languages: English (Intermediate)
PROFESSIONAL EXPERIENCE
Data Analyst May 2026 – Present
Collected, cleaned, and analyzed data using SQL and Python (Pandas, NumPy).
Identified trends, patterns, and business growth opportunities through data analysis.
Built interactive Tableau dashboards to track KPIs and support decision-making.
Performed A/B test analysis, including hypothesis testing and statistical interpretation.
Calculated and monitored key metrics such as conversion rate, revenue, retention, and
engagement.
Wrote optimized SQL queries and presented analytical insights through reports and visualizations.

Portfolio:
Project 1 - Developed an end-to-end sales analytics solution for an e-commerce business using SQL,
Python, and Tableau. Extracted, analyzed, and visualized sales data to identify trends, customer
behavior, and key KPIs. Built an interactive Tableau dashboard to support data-driven business
decisions.
Project 2 - Analyzed A/B test results using Python and statistical methods to measure the impact of
product changes on key conversion metrics. Developed an interactive Tableau dashboard to present
experiment results and support data-driven business decisions.

Lead Engineer, LLC Poltavagaz Zbut 2015 - 2026
Analyzed operational data to support business decisions and process improvements.
Prepared reports and ensured data accuracy and documentation quality.
Monitored key operational KPIs and identified improvement opportunities.
Investigated operational issues and implemented effective solutions.
Collaborated with cross-functional teams to optimize business processes.

EDUCATION
Master's Degree in Oil and Gas Engineering
Poltava National Technical of Yuri Kondratyuk University 2007-2012

ADDITIONAL INFORMATION

Certifications: Data Analyst course at Mate academy