Zhassulan Yessenov

Senior Data Analyst / ML Engineer

Kcell

Kazakhstan-based mobile telecommunications operator.

Built and productionised subscriber decision and forecasting models for ~3M users, including 86% DPI traffic classification and forecasts accurate to within 1%.

• Designed a two-stage decision system over ~3M subscribers: stage one predicts whether a recurring charge will be paid, stage two predicts the day within a 30-day billing cycle — a delayed-feedback problem where the signal only resolves weeks after scoring. • Converted model output into operational decisions: tuned classification thresholds against business cost and built a quota-based allocation function distributing predicted payment days under capacity constraints.

Middle RPA / ML Developer

Python RPA

Designed and deployed client process automation, integrated custom ML models into workflows, and assessed opportunities for automation.

• Designed and deployed RPA solutions automating client business processes. • Integrated custom ML models into client workflows on request. • Analysed client data and business problems to scope automation opportunities.

Junior Backend / ML Developer

Vector KZ

Developed FastAPI backend services and REST APIs, collected survey data, and proposed workflow changes to improve team throughput.

• Developed backend services and REST APIs with FastAPI. • Collected and structured data through customer surveys. • Analysed incoming tasks and proposed changes that improved team throughput.

BSc, Information Systems

Suleyman Demirel University