Hi there
I am passionate about data analysis and machine learning engineering, with experience in artificial intelligence, data analytics, and software development. I hold a Master's degree in IT from the University of Gdańsk, and my main focus is on developing and implementing machine learning models, predictive analytics, and data-driven solutions that support business processes and assist in decision-making.
Throughout my career, I’ve had the opportunity to work with international teams, which has given me experience in delivering AI-based solutions and working with large datasets. My expertise includes deep learning, natural language processing (NLP), computer vision, and statistical modeling, as well as proficiency in tools such as Python, R, SQL, and distributed computing systems.
I enjoy solving problems, making data-driven decisions, and developing algorithms that enhance automation and predictive capabilities. I value precise analytical thinking and am constantly working to improve my skills through projects and independent research.
I thrive in dynamic environments, both independently and as part of a team, and strive to combine technical skills with a business-focused approach to create solutions that bring real value to organizations.
Skills
PROGRAMMING LANGUAGES
- Python
- Java
- R
- C++
SQL AND DATABASES
- Snowflake
- Teradata
- MySQL
- Oracle
- PostgreSQL
- MSSQL
- MongoDB
- SQLite
- Firebase
PYDATA STACK
- Pandas
- NumPy
- SciPy
- Matplotlib
- Plotly
- Seaborn
MODELING AND MACHINE LEARNING
- Scikit-learn
- TensorFlow
- Keras
- PyTorch
- Statsmodels
BUSINESS INTELLIGENCE AND ETL TOOLS
- Tableau
- Alteryx Designer
DEVOPS TOOLS
- Docker
CLOUD COMPUTING PLATFORMS
- AWS
- Azure
AGILE ENVIRONMENT
- Jira
- Git
- Confluence
- Nextcloud
ADDITIONAL TOOLS, FRAMEWORKS AND TECHNOLOGIES
- Jupyter Notebooks
- Minitab
- MVC
- Django
- FastAPI
- Angular
- Node.js
- Posit Connect
- Posit Workbench