Владислава

VLADISLAVA EFIMOVA
[open contact info](look above in the "contact info" section)
[open contact info](look above in the "contact info" section)
DATA ANALYST Telegram
LinkedIn
GitHub
Zhytomyr, Ukraine | Remote | Relocate
SUMMARY Can work during blackouts thanks to EcoFlow

Data Analyst with a strong mathematical background and 9+ years of experience in education, having mentored 350+ students
using custom-designed learning programs. Successfully guided 16 students to achieve perfect scores (200/200) on the
NMT/ZNO exam. An in-depth understanding of probability theory and statistics. Known for strong interpersonal skills,
seamlessly integrating into teams, and fostering a collaborative workplace culture. Dedicated to delivering value in a full-time
role.

SKILLS
Python: Pandas, NumPy, Matplotlib, Seaborn, Exploratory Data Analysis (EDA)
SQL: Advanced Queries, Window Functions, Query Optimization, CTE
Spreadsheets: Pivot Tables, Data Cleaning, Visualization
Tableau/Power BI/Looker Studio: Interactive Dashboards, Data Storytelling, Publishing
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, Excel, Git, Slack, VS Code, Trello, Jira, Notion, BigQuery
Languages: English (Upper-Intermediate)

WORK EXPERIENCE
Research Analyst (Content) 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
Mariupol State University | 2015-2020
Bachelor Degree in Applied Mathematics

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 a grant to study at Mate Academy
Participation in HACKATHON 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)