Junior Data Engineer
Sberbank KZ
Mar 2022 — Aug 2022Created, optimized, and, when necessary, updated ETL processes for creating storefronts
AS
Adilbek Spatayev
@tempoRare
Senior Data Scientist · Bereke Bank
Порядочный парень, который хочет быть отличным мужем, прекрасным отцом, душой компании, и в будущем отличным профессором или преподавателем
Open to
Learning with othersMentoring othersHelping with community projectsHelping organize meetupsResearch collaboration
Career
Experience: 0 yearsExperience
Junior Data Scientist - Middle Data Scientist
Bereke Bank (Sberbank KZ)
Sep 2022 — Apr 2024Conducted regular validation and monitoring of current credit scoring models, with subsequent model updating when quality declined. Was one of the key developers of the company’s first scoring card for assessing the credit risks of individual entrepreneurs (IE). Conducted research together with the team and defended the implementation of gradient boosting-based models before management. The new architecture improved the Gini metric compared to previous models based on logistic regression. Assessed the potential of using telecom operator data to improve scoring. Conducted pilots using the Re
Middle Data Scientist
Qazcode (Beeline KZ)
May 2024 — Oct 2024- Adapted and developed custom credit scoring models for two key partners of the company, taking into account the specifics of their business processes and customer data. - Participated in the development and implementation of a new MLOps pipeline to automate the deployment of machine learning models.
Senior / Lead Data Scientist
Freedom Pay
Oct 2024 — Oct 2025- Developed and implemented four scoring model for assessing the credit risks of individuals and sole proprietors based on payment data analysis. - Optimized the ETL process for preliminary scoring calculations, which led to a significant reduction in operating costs for AWS Glue and Redis services. - Developed an MVP version of an analytical dashboard for monitoring and forecasting key performance indicators (KPIs) of merchants - In collaboration with the Anti-Fraud team, developed an MVP model for detecting anomalies in financial transactions
Senior Data Scientist / MLOps
Bereke Bank
Nov 2025 — Present– Developed scoring models for assessing credit risks, improving Gini/AUC and well-designed feature selection with high level representations. - Developed and implemented a robust feature selection pipeline for various model architectures (linear, tree-based, and nearest neighbors) - Established a data source reliability control process for model building, including value distribution monitoring and missing-value checks, ensuring timely data quality improvements before they could affect model performance - Built a feature value calculation validation process on the decision-making system (DMS)
Education
Data science and Machine learning / bachelor
IITU
2019 — 2023Был обычным студентом который верил в свою специализацию и продолжал развиваться, дополнительно работал для лучшего освоения направления