I'm currently studying Data Science at Warsaw University of Technology, which aligns with my strong interest in the field.
I'm passionate about data analysis, developing machine learning architectures, and building backend applications.
- Python: I have expertise in various Python libraries, including:
- Data visualization: matplotlib and seaborn
- Data manipulation: pandas and geopandas
- Numerical computing: numpy
- Machine learning: tensorflow, pytorch, and sklearn (including tensorflow-datasets and optimization libraries)
- Web development: django and flask
- Web scraping: selenium and scrapy
- Documentation: Sphinx
- Git: I have experience using Git and GitHub, including creating CI/CD pipelines and automating Sphinx documentation deployment to GitHub Pages for project clarity.
- Bash and PowerShell: Proficient in scripting and automation.
- SQL: Skilled in working with relational databases and writing SQL queries.
- Docker and Kubernetes: Familiar with containerization and container orchestration technologies.
- Java: Familiar with object-oriented programming concepts, collections, and native Java GUI development.
- C++: I have implemented popular algorithms (sorting, graph traversal, etc.) from scratch in C++, gaining an understanding of computational and space complexity in IT.
- CSS and HTML: Proficient in creating responsive web designs, including Bootstrap framework.
- JavaScript: Knowledgeable in JavaScript, including frameworks like React and Redux.
- R: Proficient in data manipulation using R libraries, such as data.table and dplyr.
You can easily reach me via email, which you can find in my GitHub profile. Feel free to connect with me on LinkedIn!
You can also check out my GeeksForGeeks account for more resources.