ML and data enginner with work experience of 2 years
Data analyst, data scientist, data engineer. Currently studying a Master's in Applied AI. Interested in data analysis, machine learning, NLP, and building practical data-driven solutions.
Bilim Group LLP, BilimLand
Exclusive partner of the Coursera
Jun 2024 — Jul 2024Built Python data-filtering solutions and supported analysis, reporting, and visualization.
• Developed software solutions for data filtering using Python (Pandas, Natural Language ToolKit, openpyxl). • Used Excel and Power BI for data analysis, reporting, and visualization in the Technical Support and Analytics Team.
Training Center M&C
School of Competitive Programming
Jul 2025 — Sep 2025Coordinated student activities, monitored progress, and handled administrative reporting.
• Coordinated student activities and ensured adherence to the curriculum. • Monitored students’ progress and promptly resolved arising issues. • Used Excel for administrative reporting.
Kazgisa LLP
Feb 2026 — PresentAnalyzes civic-request data and builds data workflows, dashboards, and ML analyses for akimat stakeholders.
• Analyzed datasets to identify trends and anomalies using Python and analytical libraries. • Built dashboards and performed data analysis with BI tools (Metabase, Grafana). • Wrote and optimized SQL queries; worked with relational databases. • Integrated systems via REST API: sending and receiving requests in JSON, testing with Postman. • Performed data preprocessing: cleaning, normalization, and preparation of datasets for analysis. • Applied machine learning algorithms for data analysis: clustering (K-Means), decision trees, linear and logistic regression, Isolation Forest.
Astana IT University
2022 — 2025Astana IT University
2025 — 2027Designed and developed a Node.js (Express) REST API with MongoDB/Mongoose, CRUD endpoints, JSON exchange, request testing, error handling, input validation, and middleware.
Cleaned user-review data, extracted text features, examined linguistic heterogeneity, and compared classification models using accuracy, precision, recall, and F1-score.
Built an Airflow ETL pipeline to scrape and categorize news and load it into PostgreSQL with idempotent UPSERTs; added unit tests, Docker deployment, and GitHub Actions CI.
Open project