● Initiated and led a year-long project to transform raw web and SMS activity data into product insights that formed the basis for strategic decisions for product managers and analysts. ● After my departure, a new business unit was created as a result of the project; the solution was presented at the company level. ● Led the collaboration with data engineers to extract and aggregate large web and SMS activity logs into reusable Hive tables using Spark; prepared technical requirements and oversaw validation. ● Ensured broad adoption of tables across B2C, B2B, partner and product teams. ● Developed dashboards and oversaw collaboration with BI analysts to visualize behavioral patterns in sectors such as retail, travel and finance. ● Led analytics research using project and end-to-end data in Python and SQL - including customer segmentation, "family potential" models and VIP customer churn analysis with bootstrap validation. ● Participated in macro-level initiatives with the geodata team to audit and improve the quality of geographic data for regional and city segmentation.

● Automated competitor monitoring for payroll products by building a system that tracked changes across major competitor websites, reducing manual checks and saving ~2 working days per month. ● Developed an internal chatbot to provide employees with instant access to payroll project data, reducing response time for internal queries and improving operational efficiency. ● Improved nationwide reporting efficiency by consolidating regional Excel inputs and reducing manual workload.