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🎓 Student, Faculty of Computational Mathematics and Cybernetics, MSU — Department of Mathematical Statistics;
🔭 Currently focused on Data Analysis with a roadmap to Data Science;
🌐 Fluent with production pipelines, statistical modeling, and ML experimentation.
I am a motivated data professional studying advanced statistical methods and machine learning at MSU (Faculty of Computational Mathematics and Cybernetics). My immediate goal is to contribute as a Data Analyst — delivering rigorous exploratory analysis, reliable dashboards, and A/B experimentation—while progressing towards Data Scientist responsibilities: building robust predictive models, designing experiments, and productionizing ML. I combine strong statistical foundations with hands-on experience in data engineering, model tuning, and reproducible pipelines. I value clean code, effective visualization, and explainable results that inform product and research decisions.
📋📩👨💼To look my CV: click here
💻 I love writing code and analyse the data, then retrieve insights from it.
💬 Ask me anything about from Here
📫 How to reach me: [email protected]
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“DATA IS INSIGHT — LET’S TURN IT INTO INTELLIGENCE”
- Exploratory Data Analysis (EDA), hypothesis testing and cohort analysis;
- Production dashboards & BI instrumentation (Power BI, Superset, Qlik);
- A/B test design, analysis, and interpretation using statistical methods;
- ML model development, hyperparameter tuning (Optuna), and model evaluation;
- Time series forecasting, anomaly detection, and interpretable ML;
- MLOps fundamentals: Dockerized models, reproducible pipelines, basic model serving (FastAPI).
