A curated portfolio of my coursework and practical projects in machine learning, data analysis, and software engineering completed at ITMO and MIPT.
I’m an AI Engineering student at ITMO University, currently building a strong foundation in mathematics, programming, machine learning, and data-driven problem solving.
This repository brings together selected labs and academic projects completed during my studies, with an emphasis on clear problem framing, data preprocessing, analysis, modeling, and readable code.
Part of my broader ML/NLP background is also shaped by additional coursework, including an extended MIPT program covering topics such as NLP, speech technologies, and applied machine learning.
- data preprocessing and exploratory data analysis
- regression and classification on tabular data
- programming fundamentals and algorithmic thinking
- software engineering coursework
- foundations for further work in NLP, recommender systems, and deep learning
apartment-rent-data-preprocessing— cleaning, transformation, and EDA for rental datahousing-price-regression— tabular regression modelingtext-classification-basics— introductory NLP classification experimentscs-foundations— selected coursework in programming, algorithms, and systemsmisc-labs— additional academic assignments and experiments
Languages: Python, SQL, C++, C#, Go
ML/DL: scikit-learn, CatBoost, XGBoost, PyTorch
Tools: pandas, NumPy, Jupyter, Git, FastAPI, Docker
This repository is continuously updated as I refine earlier coursework, improve project structure, and add stronger ML/AI projects over time.