At Itransition, I developed a Microsoft Fabric ETL pipeline using the Medallion architecture to integrate data from multiple sources. I also built Power BI dashboards to explore relationships among transportation, environmental, and economic indicators.
On my air pollution forecasting research project, I prepared data, engineered features, and compared ARIMA, SARIMA, Random Forest, XGBoost, and LSTM models. I co-authored an IEEE publication on air pollution forecasting and am developing a hybrid forecasting model.
I developed AEGIS, an academic SIEM anomaly-detection prototype, integrating a selected ML model after evaluating approaches on HDFS logs. I created its FastAPI backend and Angular frontend, added Telegram alerts, and deployed containerized components on AWS.
I’m pursuing a master’s in Applied Data Analytics at Astana IT University after graduating with honors in Software Engineering. My experience includes data preparation, model training and evaluation, and technical support at Damu Information Technology Center.
