About
Analytics and Data Science leader with a passion for developing great products and tackling data challenges. I connect business with technology, develop partnerships, and mentor data analysts.
My vision
I want to change the way you think about data analysis. Data by itself doesn't bring any value. I use sophisticated data processing and transformation tools—combined with passion, creativity, and analytics—to tell a story with data that reveals its value and relevance. By performing data acquisition and developing user insights, I drive recommendations that can shape your product and maximize its value. To learn how I do this, subscribe to my newsletter:
Expertise
Product and Data Analytics:
- A/B and multivariate testing experiment evaluation
- User growth and engagement - metrics and KPIs definitions, calculation, reporting, and scaling strategy
- User retention and churn measurement analysis
- User segmentation and cohort analysis, developing personas
- LTV and revenue forecasting
Data Science and Data Engineering:
- Predictive modeling
- Testing experiment design
- Data modeling and building forecasts and prediction models
- Developing and maintaining ETL, stored procedures
- Schema design and dimensional data modeling
- Reporting development and automation
Recent analytics projects
- Made recommendations for optimizing email programs which resulted in 3 times reduced unsubscribes and 2 times increased open rate
- Scaled from 55% to 85% user retention by uncovering user behavior and conducting user cohort analysis
- Developed and automated tools for auditing and validation of data tables that improved reporting consistency and reliability
- Built forecast time series to predict user and revenue growth
- Developed and automated the A/B testing framework that included experiment setup and evaluation
- Developed multivariable product experiment plan and strategy that led to 2x increased revenue and 25% reduced churn
- Increased DAU/MAU ratio by developing user segments quantitative profile
- Designed and implemented the binary classification ML model to predict a user's likelihood to upgrade or downgrade to support marketing initiates that resulted in a 30% reduced Customer Acquisition Cost