I'm a full-stack Data Scientist with expertise in all stages of developing ML models: from Exploration Data Analysis to creating ML pipelines as RESTful services and deploying them into production with front-end visualization. Excels in analyzing complex data sets. Extensive background in the Electric Vehicle Charger infrastructure, oil & gas industry, manufacturing, and logistics (geodata). Advanced proficiency in Big Data analytics, enabling the extraction of actionable insights.
I worked at such companies as:
- Zoniq (formerly Mobilyze) - develops Machine Learning services to identify the best EV Charger spots.
- Zyfra - Zyfra’s Digital Industrial Platform (IDP) develops ML, AI, and IoT digital solutions for mining, oil & gas, and manufacturing.
- WintershallDea - leading European independent gas and oil company, focusing on the exploration and production of natural gas and crude oil.
- Emerson (Roxar) - combines cutting-edge software and innovative IT solutions to deliver advanced reservoir management and production optimization technologies for the oil and gas industry.
- GazpromNeft - a major energy company specializing in the exploration, production, refining, and distribution of oil and petroleum products.
- Rosneft - a major energy company specializing in the exploration, production, refining, and distribution of oil and petroleum products.
- Postgraduate Diploma in Data Science, Machine Learning and Artificial Intelligence
- Master’s degree in Developing and Operation of oil & gas fields, diploma with honour (GPA 5.0 out of 5.0)
- Master’s degree in economics and management, diploma
- English language - C1
- Raiffeisen bank Hackathon: top 10% in solo.
- EVRAZ AI challenge: top 7% in solo.
- Wildberries hackathon: our team got top-5 in the track “Seller’s analytics” from 410 people in 65 teams and 3 tracks.
- Python, pandas, NumPy, scikit-Learn, LightAutoML
- XGBoost, CatBoost, LightGBM, TensorFlow, Keras, PyTorch
- GeoPandas, Shapely, Folium, OSMnx
- NLP, Computer Vision, recommender systems
- Streamlit, Flask, Dash, Matplotlib, Plotly, Seaborn, Power BI
- SQL, NoSQL (MongoDB, Redis)
- Git, Anaconda, pip, PEP8, PyCharm, Jupyter, Colab
- Scrapy, BeautifulSoup, XPath
- HTTP, REST, API, JSON
- HTML/CSS, Brackets, Figma
- Linux, Docker, Amazon Web Services (AWS)
- Machine Learning model for water cut prediction of oil field wells post, code
- Another approach to augmentation of tabular data post, code
- Most of my skills are described here