Alimzhan Yerkenuly

Senior Data Scientist · Team Lead, Antifraud

Bank CenterCredit

A commercial bank in Kazakhstan.

Led antifraud modeling and production deployment of 10+ ML models; reported 50% lower fraud and KZT 60 million monthly savings.

• Retail product antifraud: built 10+ ML models for fraud detection and credit scoring and managed their end-to-end production deployment. Reduced fraud by 50%, saving KZT 60 million per month. • Credit risk assessment accuracy: redesigned scoring systems and developed FaceScoring, an AI-based biometric analysis solution. Increased the Gini coefficient by 50% and reduced social engineering attacks by 35%.

Data Scientist · Java / Data Quality Engineer

ASU-Cybernetic

Developed predictive models and data quality processes for KMG, reducing reconciliation errors by 25% and manual audit work by 200+ hours yearly.

• Data quality work for KMG: developed predictive models, implemented MDM in Informatica, and automated validation reports. Reduced data reconciliation errors by 25% and saved 200+ hours per year of manual auditing.

Data Analyst

KMG-Kumkol

Automated Python/SQL reporting and BI dashboards, cutting report preparation from 8 hours to 20 minutes.

• Reporting efficiency: automated reports using Python and SQL, standardized ETL, and built BI dashboards. Cut report preparation time from 8 hours to 20 minutes and increased decision-making speed by 40%.

Research Intern

Research Center Sange

Designed research data pipelines and a real-time Telegram bot, reducing manual data entry by 30%.

• Research data processing: designed data pipelines, conducted statistical testing, and created a Telegram bot for real-time updates. Reduced manual data entry by 30%.

Statistics / Data Science

Middle East Technical University