Опыт работы
Nazarbayev University
Advisor – Data Unit
Extracted, cleaned, and processed student academic data (performance records, academic probation risk) using Python (pandas, numpy) and SQL. Built reports and dashboards to support academic decision-making for advisors and management. Conducted data quality checks, cleaning and preprocessing of academic records. Visualized trends and patterns using matplotlib / seaborn. Coordinated with multiple stakeholders (schools, departments, administration) to clarify requirements and validate analytical reports.
GSC
Teacher
Analyzed student progress and performance trends across proficiency groups to adapt teaching strategies. Created presentations and reports to communicate learning results clearly to students and parents.
Jetil.kz
English Tutor & Curriculum Designer
Analyzed learning outcomes from weekly speaking clubs and used feedback data to improve 5+ curriculum modules and 40+ teaching materials. Coordinated 10+ extracurricular activities, managing scheduling and tracking participant outcomes.
- Improved 5+ curriculum modules and 40+ teaching materials based on feedback data
- Coordinated 10+ extracurricular activities
Astana Hub Startup Garage
Founder / EduTrack
Conducted 20+ customer discovery interviews and used qualitative insights into structured problem statements. Analyzed workflows and data usage in educational centers to identify automation opportunities. Translated qualitative user insights into structured use cases to design the data logic and MVP for an educational automation tool. Built MVP Telegram bot automating data collection and structured reporting. Worked at the intersection of business, data, and product, validating hypotheses through data.
- Conducted 20+ customer discovery interviews
- Built MVP Telegram bot automating data collection and structured reporting
Проекты
AIESEC × Higgsfield Case Championship – Top 10 Team (out of 149 teams), Prompt Engineering Track
Built a custom GPT for structured prompt generation and created a fully AI-generated promotional video within 24 hours; pitched to Higgsfield founders.
Women in STEM Hackathon (WISH)
Analyzed and modeled a large-scale Kazakh language dataset (~550K entries) to develop an NLP-based solution within a 24-hour hackathon.
HackNU 2026 - Top 10, Data Science Track (Higgsfield)
Built a churn prediction system using LightGBM multiclass classification on first-14-day behavioral data; engineered features across 6 data tables, identified key churn signals (payment failures, NSFW usage patterns), and delivered actionable retention insights.
Business Cup 2026 - Zimran × AIESEC, Astana
Participated in a business idea development competition: conducted market analysis (TAM/SAM/SOM), developed a business concept, and calculated unit economics (LTV, CAC, profit margins, break-even point, and other financial metrics).
Образование
Nazarbayev University
2023 — 2025MSc, Educational Leadership
МагистрSuleyman Demirel University
2019 — 2023BA, Two Foreign Languages
БакалаврКурсы
Supervised Machine Learning: Regression and Classification
DeepLearning.AI × Coursera
Ожидаемая зарплата
500 000 KZT