Data Scientist (ML | NLP | MLOps)

my CV

I used to develop telegram bots: the last project was for the university in terms of attendance and student interaction. I study ml and dl, currently NLP, or rather LLM. I participate in hackathons, go to conferences and mock interviews.

NUST MISIS | Moscow | BS | Computer Science | 2022-2026

Python, C++, Java, PyTorch, Sklearn, NLTK, Transformers, LangChain, Hugging Face, Pandas, NumPy, Matplotlib, Gensim, CatBoost, FAISS, Git, Bash, Linux, Apache Airflow, Docker, MLFlow, PostgreSQL, aiogram, Yandex Cloud

T-Bank (ex Tinkoff), NLP Engineer, Intern | May 2024 - Present

• Develop ChatBot (RAG system) for tech department from planning and implementation to deployment in production

• Definer-top-k-topics [2024] [NLP|ML|MLOps]
• Definer-wildberries-products-disadvantages [2024] [NLP|ML|MLOps]
• Telegram-kurator-bot [BackEnd] (repo is closed) - bot for attendance and student interaction
• OMON-operational-alarm-clock [BackEnd] (repo is closed) - bot for the timely arrival of special detachments to the place and more

• IT Purple Hack (4/50) [2024] [classic-ML] - 4th place in the competition from MIPT and Sber in the case "Forecasting the outflow of FL payroll clients", where we have tried a variety of hypotheses and ways to deal with the peculiarities of the data
• Tender Hack (finalist) [2024] [NLP] - the case is "Creating a functional for generating names and characteristics STE in a universal form", where we preprocessed data by nltk, implemented vector database FAISS with embeddings of sentense transformer LaBSE (to work with russian tokens), WildBerries parser, word validation based on n-gramms, t9, pyspellchecker
• Gagarin Hack (finalist) [2024] [NLP] - the case is "Sentiment telegram channels on the stock market"
• EESTech Hack (finalist) [2024] [Time-Series] - base forecasting Time Series
• Alfa X FinU Hack (10/80) [2024] [classic-ML] - Purely competitive ML

• Deep Learning School by MIPT (2023 - 2024): 2 semesters of machine learning and neural networks (NLP)
• MLOps and the production approach in ML by ODS (2024): MLOps and production basics (eg gitlab, airflow, mlflow)
• Basics of algorithms and data structures by Yandex (2023)

• English: Upper Intermediate (B2)
• Russian: Native