Suienish Mirambekov

Data Engineer Intern

Kaspi.kz

Kazakhstan-based fintech and digital services company.

Migrated 500+ reporting scripts from R to Python, built data quality monitoring, and supported DWH and reporting systems.

• Developed and maintained end-to-end analytical reporting in Qlik Sense, designing optimized load scripts and multi-layer data transformation models. • Implemented complex business logic and flexible data filtering using Set Analysis, supporting dashboard performance on large datasets. • Migrated more than 500 active scripts for daily and weekly reporting from R to Python, keeping automated mailings running without interruption.

Case competition participant

KBTU Risk Management Case Competition

Built an anti-fraud model with Gini 81 and 70% recall; placed second among 200 teams.

• Developed an anti-fraud model using gradient boosting and logistic regression (Gini 81, recall 70%), placing second among 200 teams. • Completed the data preparation process, including feature engineering, missing-value handling, and WoE/IV calculations for banking variables.

Developer Intern

Nimbly Academy

Added ChatGPT and RAG features to a chatbot and designed PostgreSQL storage for a system serving 200+ active users.

• Integrated the ChatGPT API into chatbot infrastructure and implemented collection and preprocessing of external data from Astana Hub. • Designed a PostgreSQL database architecture for storing logs and user data, supporting stable operation for 200+ active users. • Integrated a RAG-based intelligent Q&A system, automating onboarding and technical support for new learners.

Bs Software engineer

Astana IT University

Software engineer

Master of Data Science and Macrofinance

KBTU

I completed my Master's degree in Data Science and Macrofinance at KBTU, fully supported by an educational grant from the National Bank of Kazakhstan, which allowed me to deeply focus on advanced AI research and econometrics