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Data analyst
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DATA ANALYST
[
@nastasiiars
Data Analyst with a strong foundation in analytical thinking, data cleaning, visualization, and
experimentation.
Skilled in Python (Pandas, NumPy), SQL, and Tableau, with hands-on experience conducting A/B tests,
hypothesis testing, and user behavior analysis. Demonstrated ability to turn complex datasets into clear
insights and actionable recommendations. Detail-oriented, capable of independent research, and effective in
collaborative environments. Upper-Intermediate English.
Additional Background: Psychology graduate with experience in research design, behavioral analysis, and
structured problem-solving - skills that enhance analytical reasoning and user-focused data interpretation.
SKILLS
Spreadsheets
Pivot Tables, Data Cleaning, Visualization
SQL
Advanced Queries, Window Functions, Query
Optimization, 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, Freelance / Self-employed 07/2024 – Present
Conducted A/B testing analysis using Python (SciPy, Pandas) to evaluate conversion
•
rate differences.
Created interactive Tableau dashboards visualizing user engagement and conversion
•
funnels.
Processed and cleaned large e-commerce datasets for behavioral insights.
•
Applied hypothesis testing and confidence intervals to assess feature performance.
•
PORTFOLIO:
Project 1 (SQL Projects), Focused on collecting and analyzing data related to account
creation and email activity, including sends, opens, clicks, sending intervals,
verification status, and subscription status. The project enables cross-country
comparison, identification of key markets, and segmentation of users by activity and
behavior.
Link to review
Project 2 (Tableau Projects), Developed an Email Metrics dashboard to evaluate mailing
performance. The dashboard visualizes the number of emails sent, open rates, click-through
rates, and link interactions, with the ability to compare these metrics across countries
for deeper insight into user engagement.
Link to review
Project 3 (Python Projects), Focused on cleaning, processing, and analyzing raw datasets
to extract actionable insights. The project highlights data preparation, exploratory
analysis, and identifying patterns that support data-driven decision-making within the
company.
Link to review
EDUCATION ADDITIONAL EDUCATION
Bachelor's Degree in Psychology, Data Analytics Course, Mate Academy
Taras Shevchenko National University of Kyiv SQL: data extraction, cleaning, and transformation
2022 – 2026 •Python (Pandas, NumPy, Matplotlib, Seaborn) for
data analysis and visualization
Key subjects: Cognitive Psychology, Research Tableau for interactive dashboards and business
Methods, Statistics, Data Analysis in Psychology
•
reporting
•Statistics and A/B Testing for decision-making
•Google Analytics & Excel for performance tracking
ACHIEVEMENTS
Published a short research paper on cognitive development in adolescence 01/12/2023
Led a small research team during a university project, coordinating
tasks and ensuring data quality throughout the study
Organized and delivered a series of peer-learning workshops on
effective study techniques and cognitive skills
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