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 creating end-to-end data pipelines serving large volumes of critical informations for multiple buiseness processes on daily basis.
- Python: I have expertise in various Python libraries, including:
- Data visualization: matplotlib and seaborn
- Data manipulation: pandas and geopandas
- Numerical computing: numpy, scipy, pandas, tensorflow
- Machine learning: tensorflow, pytorch, and sklearn (including tensorflow-datasets and optimization libraries)
- Web development: django, flask and fastapi
- Web scraping: selenium and scrapy
- Documentation: Sphinx
- Cloud developement: Snowpark
- 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
- SQL: Skilled in working with relational databases and writing SQL queries, I'm familliar with PL-SQL. I've used DBT to support large-scale ELT processes and advanced multi-sources queries.
- Docker and Kubernetes: Familiar with containerization and container orchestration technologies.
- 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.
- Apache Airflow: I'm proficient with developing DAGs and administration of this platform, as well as its deployment via local docker-compose or kubernetes cluster.
- Snowflake: I have Snow-Pro Core certification and I've worked a lot with Snowflake as data plarform hosting both large scale hierarchical tables as well as maschine learning models.
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.