Experience level:
More than 5 years
Education level:
Languages:
Russian
English
About Me I have always been interested in the IT field. I studied JS and PHP on my own and created small educational projects. I did web development at an amateur level as a hobby, but I decided not to pursue it professionally because I didn’t want to leave analytics. I found my place in the combination of programming and analytics. I also plan to dive deeper into ML engineering. For now, I work with available models in scikit-learn, TensorFlow, and other libraries. My strengths: Over 7 years of experience in analytics. Strong teamwork skills (more than 6 years of experience working in teams). Ability to structure arguments clearly for clients. Strong communication skills, including asking the right questions when working with clients and colleagues. Self-discipline and ability to meet deadlines. Open to: Project-based work, office work (Belgrade), remote work.
Data Analyst, Sales Development Department
Monna Biolab — Beauty products manufacturing and sales on Wildberries & Ozon
📍 Moscow | 🗓 March 2024 — April 2025
Key Achievements:
● Reduced reporting preparation time by 70% through Python-based automation
● Developed a DataLens dashboard with daily auto-updates
● Conducted 10+ A/B tests for product categories and marketing strategies
● Recovered missing sales data using a Random Forest model
● Decreased report error rate from 15% to under 3% through automated data validation
Core Responsibilities:
● Analyzed sales data and calculated key metrics
● Built reports and visualizations for internal teams
● Tested hypotheses and conducted A/B experiments
● Maintained and developed analytical infrastructure
Tools: Python (Google Colab), App Scripts, Google Sheets, DataLens, Amvera.cloud
Research Projects:
● Impact of negative reviews on conversion: determined the average number of positive
reviews needed to offset one negative.
● Effect of reaching 1000 reviews on conversion rate: analyzed competitor dynamics and
recommended growth strategies.
● Revenue dependency on packaging volume: provided packaging size recommendations to
increase profitability.
Data Science Projects
Role: Data Analyst
📅 2022 — 2024
Project 1: In-Depth Analysis of Sporting Goods Store Purchases
Tools: Python (pandas, matplotlib, sklearn, TensorFlow, Keras), MS Excel, PowerPoint
What was done:
● Built a data processing pipeline: cleaning, imputing missing values, and analysis
● Restored missing data using Random Forest
● Conducted A/B testing and t-test analysis, provided business recommendations
● Performed K-means clustering with feature engineering to improve segmentation
● Developed a customer purchase propensity model using TensorFlow
Results:
● Segmented user behavior for personalized marketing
● Recommendations led to a 10–15% increase in sales
Project 2: Website Traffic Analysis for “AutoSubscription” Service
Tools: Python (pandas, matplotlib, numpy)
What was done:
● Cleaned data and removed outliers
● Analyzed traffic source and region performance
● Suggested marketing budget redistribution
Results:
● Identified 3 unprofitable traffic sources
● Recommended cost optimization of 20%
Newmark, St. Petersburg – Digital Marketing Agency
PPC Specialist (Yandex.Direct, Google Ads) (2017 – 2024)
Responsibilities:
● Traffic analysis and optimization of advertising campaigns based on KPIs using
Yandex.Metrica and Google Analytics.
● Landing page audit and recommendations for improvements to increase conversion rates.
● Collection and clustering of key queries for effective ad targeting.
● Setup and management of advertising campaigns in Yandex.Direct and Google Ads.
● Collaboration with other departments (design, SEO, development, sales) to ensure a
comprehensive approach to projects.
Tools:
Excel, Yandex.Direct, Yandex.Metrica, Google Analytics, GTM, Key Collector, HTML, CSS, CRM.
Achievements and Results:
● Optimized advertising campaigns based on e-commerce cross-channel analytics data.
Selected an attribution model and accounted for associated conversions, which allowed for
accurate profit attribution for each key query.
● Increased ROI of advertising campaigns to 250-300% through in-depth analytics and
strategy adjustments.
● Conducted A/B testing of advertising strategies, significantly improving the effectiveness of
ad projects.
● Developed my own system for setting up strategies based on machine learning, optimizing
data transfer to Yandex.Metrica for accurate tracking of all key events. This solution was
used when standard data was insufficient.
● Collected and analyzed over 4,500 key queries for a new advertising campaign in
Yandex.Direct, where each ad led to a separate product page. My custom Python parser
helped collect data from a website with no direct admin panel access, reducing the task
completion time from a week to 3 days.
● The advertising campaign improved the project’s performance by at least 30%, adding
value to existing campaigns.
СПБВМИ
Faculty: штурманский
Specialisation: судовождение
Graduation year: 5
Университет Синергия
Faculty: Интернет
Specialisation: Интернет-маркетинг
Graduation year: 1
🛠 Technical Skills: Python (pandas, numpy, matplotlib, sklearn, TensorFlow), SQL (PostgreSQL), Git, Jupyter Notebook. 📈 Analytics & Statistics: A/B testing, hypothesis validation, metric calculations, statistical analysis, clustering. 📊 BI & Data Visualization: Power BI, Yandex DataLens, Google Sheets (App Scripts), Excel (pivot tables, VLOOKUP). 🌐 Web Analytics & Marketing: Yandex.Metrica, Google Analytics, Google Tag Manager, end-to-end analytics setup. 🧠 Other: Working with messy data, report automation, presentation creation, cross-functional team experience