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Data Analyst & Visualization Specialist
I turn data into stories. Over 5 years I've built analytical pipelines for fintech companies, insurance risk dashboards, and public-sector data systems — always making complex data readable for decision-makers. My research on Central Asian demographics, economics, and geography has been published in Kursiv, Tengrinews, The Steppe, and 15+ major outlets. MSc in Computer Engineering.
Al-Farabi Kazakh National University — ranked #1 in Central Asia and #163 globally (QS World University Rankings)
Studied algorithms, databases, software engineering, and computer networks. During an applied internship, built a unified data infrastructure and automated daily reporting system for companies in the housing & construction sector — consolidating fragmented data sources into a single operational database used by management teams.
Student of the Year 2021, Faculty of IT. Regular HackDay & hackathon participant. Volunteer at Red Crescent Kazakhstan; green energy project for remote regions; Grow Your Own Food — urban gardening platform for students.
Thesis: Creation of an effective image processing algorithm based on an ensemble approach. Published in a KKSN-indexed journal — Kazakhstan's list of top-tier peer-reviewed publications. Research focused on combining multiple ML models into ensemble pipelines to improve accuracy and robustness of computer vision tasks.
Creation of an effective image processing algorithm based on an ensemble approach — published in a KKSN-indexed journal. ResearchGate →
Worked with large companies across multiple industries — analyzing operations, forecasting trends, and surveying staff and clients. Built Power BI dashboards and automated Python reports that replaced manual Excel reporting and gave management weekly KPI visibility.
Contributed to building an automated credit scoring system processing 10,000+ applications per day nationwide — replacing manual review with instant online decisions. Non-performing loans decreased by 40% following model deployment.
Redesigned service workflows for local government bodies covering water supply, heating, electricity, and cadastral services. Connected citizens, akimats, and 200+ organizations on one platform. 60% of requests moved online within 3 months of launch.
Analyze insurance datasets to support decisions across underwriting, sales, and risk. Built a geospatial risk model that helped avoid dangerous coverage concentrations — resulting in +23% revenue improvement in targeted cities. Identified underperforming agents, contributing to a +30% branch revenue increase after corrective action.
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