Maksim Karachun Email & Phone Number

Yerevan, Armenia

Checkbox is a startup (50-100 employees) that provides last-mile delivery services and technologies to the top 10 largest retailers in the CIS region and thousands of small businesses. I joined the company on its first day and assembled and led a team of 4 analysts.Performed and supervised:- Improved company's operations, website, and app by performing and supervising end-to-end product analytics: ad hoc analysis, SQL queries, opportunity sizing, metrics and experimentation design, A/B tests, and impact analytics.- Influenced decision-making by developing a BI environment: KPI and analytical dashboards, monitoring and reporting tools, interactive data visualization, live reports, and alerting.- Designed optimization and machine learning and data science algorithms to boost platform key performance indicators: statistics, predictive modeling, long and short-term demand planning and forecasting, driver and rider behavior prediction, fraud anomaly detection, and operations research.Projects and milestones:- Engineered and implemented a shift planning system using machine learning and optimization tools, resulting in a 14% driver earnings increase.- Led a project to build a routing simulation environment, resulting in efficiency growth of 10%+.

Boston, Massachusetts, United States

Fasten is one of the largest ride-hailing startups operated in the USA (besides Uber and Lyft). I joined the company at the early stage and led a team of 6 analysts.- Data engineering and management of corporate data models: engineered data schemes, united data sourced by creating ETL and data processing pipelines, and drew up data generation requirements.- Coordinated with sales and marketing department to build a better understanding of customer behavior: CAC/LTV analytics, campaign optimization, customer segmentation, cohort, and funnel analytics.- Was carrying insights found in data from idea to production. Project management, problem framing, drawing down business requirements, prioritization, cross-team communication, and coordination. Finance and operations planning, FP&A, PL & CF analytics.- Implemented and democratized a Business Intelligence software (Looker) system for 50+ users.- Developed and automated customer clusterization model for personalized marketing offers, using Python and R, resulting in 5%+ retention growth.- Improved the accuracy of arrival time predictions by designing an in-house traffic forecasting system, resulting in a 10%+ IT budget decrease.- Balanced supply and demand by developing dynamic pricing algorithms, resulting in a 9% revenue growth.

Russian Federation

Russian Federation

Magnit is one of the largest retail chains in the country. I joined a team working with inventory management algorithms as an individual contributor:- Contributed to in-house supply forecasting systems.- Developed a supply-optimizing algorithm for categories of perishable goods.

Russian Federation