Sergei Rybkin

Build and owned full Data Science cycle focused on data source discovery, customer behavior, product analytics, pricing, monetization and forecasting. • Built forecasting workflows to support demand assessment, differentiated usage limits, and pricing scenarios, helping estimate revenue opportunities with retention and customer experience as guardrails. • Built the analytics foundation from scratch: automated ETL pipelines, a DWH, and analytical data marts, enabling repeatable analysis and modeling.

Led product and growth analytics for an early-stage B2B SaaS startup developing CI/CD automation for engineering teams. • Built the initial GTM strategy and customer acquisition funnel from scratch, helping secure the first 40 pilot projects to test demand assumptions, gather customer feedback and guide MVP development. • Contributed to a $1M investment round by preparing market sizing, customer research, funnel analysis, business model assumptions and financial projections for investor materials.

Owned business analysis, process digitalization and data systems design for an industrial engineering and automation group, connecting production, operational and financial workflows with ERP requirements and data models. • Designed the target ERP system and process architecture from scratch, covering approximately 90% of core business and production workflows. • Consolidated requirements across 3 companies within the group, establishing a unified view of operational, production and financial processes.

Led growth, product and marketing analytics across agency and enterprise client projects at a full-cycle digital agency delivering mobile apps and web services. • Helped shape product and growth strategy for 40+ mobile apps and web services with a combined audience of 120M+ users. • Developed/Contributed 20+ product strategy, analytics and growth input to a team that placed 2nd among 60+ teams at a fintech hackathon.

A one-year intensive MicroMaster program covering Discrete Mathematics, Linear Algebra, Optimization Methods, Big Data Analysis, Database Management, Machine Learning, and Deep Learning. Group online classes, exams, and competitions for each subject, and a final project defense at the end of the p

The curriculum covers probability and statistics, machine learning, data analysis, and data modelling, with a strong emphasis on Python-based practical applications and solving real-world data science problems.

MIET University is a leading institution in the field of computer science education in Russia. I successfully completed my university studies and was awarded a higher education diploma at the Specialist level (Master's degree).

MIET University is a leading institution in the field of computer science education in Russia. I successfully completed my university studies and was awarded a higher education diploma at the Specialist level (Master's degree).