Владислава

VLADISLAVA EFIMOVA
[відкрити контакти](див. вище в блоці «контактна інформація»)
[відкрити контакти](див. вище в блоці «контактна інформація»)
DATA ANALYST Telegram
LinkedIn
GitHub
Zhytomyr, Ukraine | Remote | Relocate
Can work during blackouts thanks to EcoFlow
SUMMARY
Results-driven Data Analyst with a background in Applied Mathematics. Expertise in SQL, Python, and statistical modeling to
optimize product performance and validate hypotheses via A/B testing. Proven ability to derive actionable insights, leading to
a 25% increase in engagement metrics. Combines technical rigor with strong communication skills developed through 8+ years
in EdTech. Former Top 500 EU Overwatch player with in-depth domain knowledge in competitive gaming and meta-trends.

SKILLS
Python: Pandas, NumPy, Seaborn, Exploratory Data Analysis
SQL: Advanced Queries, Window Functions, Query Optimization, CTE
Spreadsheets: Pivot Tables, Data Cleaning, Visualization (Google Sheets, Excel, DAX, M)
Tableau/Power BI: Interactive Dashboards, Data Storytelling, Publishing, Power Query
Analytics: Statistics, A/B Testing, Linear Algebra, Probability Theory, Hypothesis Testing, Correlation,
Statistical Significance, ad-hoc Reporting, LTV, CAC, Retention, Churn
Game Domain: Odds evaluation, outcome prediction (Dota 2), virtual economies (WoW), wagering mechanics
Other Tools: Jupyter Notebooks, Google Analytics, Git, Slack, VS Code, Trello, Jira, Notion, BigQuery
Languages: English B2 (Upper-Intermediate)

WORK EXPERIENCE
Data Analyst Jan 2026 – Aug 2026
Freelance / Project-based
Automated data cleaning and preprocessing by developing Python scripts, reducing preparation time by 30%.
Analysis & Visualization: Conducted a comprehensive sales analysis for the E-commerce market, processing
large datasets via SQL and BigQuery. Developed interactive Tableau dashboards to track regional sales
performance, resulting in the identification of 3+ underperforming segments for strategic adjustment.
Exploratory Data Analysis: Performed deep-dive analysis of customer behavior datasets using Python (Pandas,
Seaborn). Identified key correlations, statistically significant relationships that influence user retention, churn.
A/B Testing: Conducted Python-driven A/B tests (SciPy, Statsmodels) to validate product hypotheses and
analyze statistical significance, providing actionable recommendations for conversion optimization.

Analyst Content Research Oct 2025 – Dec 2025
Vyvchay Prosto | Remote | Employment under contract
Data Collection & Structuring: Analyzed videos with 1+ million views, categorizing them by format, key elements,
and engagement metrics, which informed the optimization of video formats, resulting in a 10% reduction in
production costs while maintaining viewer engagement.
Pattern Recognition: Identified high-performing trends and correlations in video content, leading to improved
production strategies and an observed 25% increase in average video view duration.
Data-Driven Decision Making: Developed scripts and content recommendations based on the analytical findings,
ensuring alignment with market trends.

Product Consultant (EdTech) 2020 – 2025
Superprof | Hybrid
Performance Analysis: Managed a portfolio of 25+ active students per month, maintaining detailed progress
logs to identify learning gaps and optimize academic performance trajectories
Data-Driven Customization: Analyzed student performance metrics to determine the effectiveness of teaching
methodologies, leading to a 12% increase in average final exam results.
Stakeholder Reporting: Regularly synthesized student progress data for stakeholders (parents and educators),
translating complex academic trends into actionable insights and curriculum adjustments.

User Data Analyst & Private Math Tutor 2017-2020
Buki | Office
User Segmentation: Developed personalized learning paths for over 60 students by data-driven assessment of
individual learning styles and quantitative analysis of knowledge gaps.
Algorithmic Problem Solving: Applied structured analytical thinking to break down complex mathematical
problems, reducing task completion time and improving logical accuracy.
Progress Tracking: Collaborated with stakeholders to establish performance KPIs and track student
advancement, maintaining consistent progress monitoring throughout the engagement.

PORTFOLIO
Tableau Projects
Ukraine Market (Sales Analysis)
A/B Tests Overview
Python Projects
A/B testing using statistical methods in Python
Statistically significant relationship

EDUCATION
Financial University | 2015-2020
Bachelor Degree in Managment

ADDITIONAL EDUCATION
Data Analyst | Mate Academy | 2026
Comprehensive data analysis to uncover strategic trends and underlying patterns.
End-to-end processing of large datasets and professional report generation.
Advanced proficiency in core tools: Python, SQL, Tableau, Excel, Power BI.
Mathematics and Statistics for Data Science | Robot Dreams | 2025
Deep dive into Linear Algebra and Statistics tailored for Machine Learning algorithms.
Intensive training in Python for Data Science.
Practical experience with libraries: Pandas, NumPy, Matplotlib, Scikit-learn.
Course How to write a Standup at SKVOT | 2026

ACHIEVEMENTS
Winner of a grant to study at Mate Academy
Participation in Hackathon by MATE x Universe Group
Volunteer teacher: 160+ hours in the educational project "Support" for children from the occupied
territories | Mar 2022
Speaker at local meetups in Zhytomyr
Participation in a stand-up show on YouTube
Top 500 Overwatch player (EU)
1+ year of professional involvement in Esports as a player, meta-game analyst, and match
commentator.

INTERESTS
Stand-up Comedy (developing public speaking and data storytelling skills).
Acting & Applied Psychology (improving communication and empathy)