Position: Senior Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper

• Developed customer segmentation models; sent ads with customized time periods and interest to win back old clients,
which reduced the marketing expense of re-engaging customers by 15%
• Identified key areas for future development of the additional digital services by creating a Customer Journey Map (CJM)
• Reduced costs of data preprocessing pipeline by 70% using PySpark data optimization

• We had a trade-in program for exchanging old devices for new ones before the exchange was made only for a 3DUO device. I
found out from the results of a survey that we are losing some of the customers who are ready to exchange the device for a cheaper alternative and offered before the start of delisting of their old devices to offer a cheaper alternative to Lil Upsell, based on global data, I saw that they are less prone to breakdowns and replacements, which made it possible to transfer some customers to a cheaper alternative, which improved retention rate by 20%.
• Identified novel customer groups and improve total revenue of the Iqos Sales by 10%.
• Reduced duration for calculation of various key metrics from a couple of hours to several minutes by automation of computational bottlenecks.
LLP Veon
Senior data analyst
September 2020 – September 2022
Almaty, Kazakhstan
November 2021 – Present
Almaty, Kazakhstan
  • Built statistical models to predict churning subscribers and discovered churn patterns using machine learning techniques, churning subscribers identification for incentives programs, and calculating rewards
• Analyzed 9M subscriber base usage behavior to get customer insights for real-time marketing activities. Extracted data, using PySpark and Hive
• Prepared segmentation lists of 9M subscribers (location, ARPU, data usage, LTV, social media traffic and etc.) for Up-Sell, Cross-Sell, AntiDown-Sell campaigns
• Built propensity-to-buy models (PTB), semi-supervised look-alike, and ranking models to enrich subscriber profile data for mobile ad targeting with a relevant offer
• Designed, conducted, and analyzed complicated AB tests for marketing strategy assessment affected 9M auditory
• Generated Ad-Hoc and regular reports for making data-driven decisions. Automated the reporting processes using PySpark
and PowerBI
• Cooperated with the Data Engineering team for improving data assessment quality and time

LLP Philip Morris International December 2020 – December 2021
Data analyst Almaty, Kazakhstan
• Retail analytics support, created analytical methodology for demand planning, inventory replenishment, pricing, and supply chain optimization
• Organized reporting procedures, real-time, daily, and monthly reports, and consumer reports for defining customer insights
• Conducted regular hypothesis testing
• NLP to classify customer reviews to understand long-term drivers of dissatisfaction
• Predictive modeling to provide proactive rather than reactive interventions
• Sales Forecast by direct/indirect channels and stock planning of Iqos Devices
• Built dynamic dashboards in Power BI for 4 different product teams, which helped top management to control critical
metrics across various business branches