ML engineer / Data scientist / Data analyst
I am a Data and Machine Learning professional currently pursuing a Master's in AI & Data Engineering, bridging commercial product analytics with deep expertise in Computer Vision and Explainable AI (XAI).
My background includes working with large-scale datasets at major companies (Kaspi, Kazakhtelecom), where I optimized search algorithms, automated analytical pipelines using Python and SQL, and improved user conversion metrics through A/B testing. In the ML domain, I specialize in building end-to-end image classification models using PyTorch, leveraging Transfer Learning (ResNet), and implementing network interpretability techniques (Grad-CAM) to deliver robust, scalable, and transparent algorithms.
Kazakhstelecom
May 2023 — Apr 2024Analyzed large-scale hardware dataset (ONT equipment) using SQL/Python to identify failure trends, reducing network downtime and improving service quality. Created and maintained dashboards (Power BI / Qliksense) tracking new installations, migrations, and customer base changes. Prepared datasets and ensured accuracy for nationwide “Customer Base Management” program.
Kaspi bank
May 2024 — Aug 2024Analyzed search performance for Kaspi app (high-volume active users/search queries), monitoring key metrics including CTR, CR, and conversion funnels. Automated daily/weekly/monthly KPI reports in SQL/Python, cutting manual work by 40%. Evaluated and validated model performance during migration from Algolia to an in-house search engine, boosting search relevance by 95% and optimizing query accuracy. Formulated and executed A/B testing hypotheses to optimize search UX, resulting in a 75% lift in user conversion.
KBTU
2019 — 2023University of Ca'Foscari of Venice
