Oct 2023 – Apr 2024 · 6 mos

Jan 2023 – Oct 2023 · 9 mos

• Lead the development and implementation of an experimentation culture within the organization.
• Build predictive models to understand and optimize customer LTV. Utilize advanced statistical techniques and machine learning algorithms to identify key factors influencing customer retention, engagement, and monetization.
• Drive the development and implementation of a robust MLops architecture.
• Foster a collaborative and inclusive work environment, promoting knowledge sharing and continuous learning, mentoring data scientists. Provide guidance on best practices.

Oct 2021 – Jan 2023 · 1 yr 3 mos · Dublin, County Dublin, Ireland

• Built the measurement algorithms by utilizing different ML techniques to detect bad actor
• behavior and take necessary enforcement actions. It helped to improve recall metric by 2%
• Cultivate A/B testing culture. Incorporate the practice of properly utilization of multi-hypotheses testing , experiments acceleration methods and different methods to gauge CTR
• metrics.
• Collaborate with XFN teams in the design of A/B tests and overall statistical analysis for
• launching new features , such as global mute feature
• Develop an anomaly detection system for the north star and quadrail metrics that has decreased the response time of the business teams to fluctuations in various dimensions by 53%.

Jan 2020 – Sep 2021 · 1 yr 8 mos · Berlin, Germany

• Lead the product analytics team
• Designed ETL workflows and executive-facing dashboards to monitor key business metrics and to ensure timely reporting to cross-functional teams.
• Executed and analyzed A/B tests. Cultivated A/B testing culture, incorporated various ways to speed up experiments: CUPED, CUPAC, Stratification.
• Developed first purchase prediction model that led to 7% increase in purchase conversion rate

Jul 2016 – Jan 2020 · 3 yrs 6 mos

• Lead the several teams of data scientists , product and system analysts (15+ people)
• Implement various new external data sources into scoring model , improving ROC AUC by 3%
• Develop and execute recommendation models , increasing CTR by 5%
• Present analyses on our loan ecosystem to help finding new insights about data and reevaluate
• our goals to reflect that.

Jun 2013 – Jul 2016 · 3 yrs 1 mo

• Conduct analysis to provide clear understanding and insights to complex business cases
• Provide profound expertise in data mining, measuring business performance and research using mathematical, statistical and experimental tools & techniques while combining data from various sources
• Perform exploratory analysis, visualize results and present it to decision makers