Middle Data Analyst & Data Scientist with 4+ years of experience transforming data into strategic impact:
At Metropolitan Premium Properties (03/2024 – Present)
- 90% productivity boost through Python/GCP reporting automation.
- Developed a Telegram bot for real-time Dubai market analytics & ML-powered price forecasts across 80+ locations.
- Built a 2-year workforce & revenue forecasting model to optimize headcount planning.
- Unified data from PropCRM, Bitrix24 & 1C into a centralized database for seamless ETL.
- Created a Marketing ROI Power BI dashboard driving a 10% revenue uplift.
- Automated front-desk data entry via Apps Script, accelerating collection by 80%.
At Sberbank (02/2022 – 03/2024)
- Detected 1.5 M+ compliance violations using Python & SQL, mitigating legal risk.
- Trained ML classifiers (Random Forest, XGBoost) to flag 300 K critical bankruptcy-related cases.
- Applied graph-based process mining to expose 1 M systemic delays.
- Implemented NLP pipelines (PyMorphy2, NLTK) to structure client documents, cutting processing time by 70%.
- Built scalable ETL/ELT pipelines with PySpark & Hadoop, improving data consistency.
- Languages: Python, SQL, R, C++, Java
- ML & NLP: scikit-learn, XGBoost, PyTorch, Transformers, NLTK, PyMorphy2
- Data Engineering: PySpark, BigQuery, Hadoop (Hive/YARN), Airflow, ETL/ELT
- BI & Visualization: Power BI (DAX, Power Query), Tableau, Pandas, NumPy, Matplotlib, Plotly
- Cloud & DevOps: GCP, AWS, Docker, Linux, Git
- Real-Estate Analytics Bot (2024–Present)
Python & GCP-powered Telegram bot delivering live dashboards and ML price forecasts for 80+ Dubai areas. - Workforce & Revenue Forecasting (2024)
2-year predictive model in Python, aligning hiring with revenue goals. - Compliance Violation Detection (Sberbank, 2022–2024)
NLP & ML pipelines that flagged 1.5 M+ violations and accelerated legal case processing. - EKF Optimization (2025)
C++ implementation of Extended Kalman Filter using BFGS/L-BFGS for faster matrix inversion. - Mutual Funds Performance Study (2021–2025)
Econometric analysis (CAPM, Carhart, Treynor–Mazuy, clustering); results requested by NAUFOR & Central Bank.
- Speaker, RANEPA Open Scientific Seminar (July 2025)
- Finalist, Yandex Olympiad “I am a Professional” (Economics & Math)
- DataCamp & Stepik: Supervised Learning, Time Series, Advanced SQL