I'm glad to have you here 😀

I'm a data science enthusiast passionate about turning mathematical ideas and statistical theory into practical solutions. Whether it’s designing algorithms from scratch or building end-to-end predictive pipelines, I thrive on exploring the intersection of mathematics, programming, and real-world data.

I'm fascinated by how data, when paired with robust algorithms and statistical insight, can reveal patterns, drive innovation, and solve real-world challenges. I enjoy applying statistical methods, machine learning, and optimization techniques to extract actionable knowledge—whether in business, science, or engineering domains.

My main programming language is Python, and I love building things from the ground up to deeply understand how they work. My project work includes implementing machine learning algorithms and optimization routines on my own, allowing me to explore the fundamentals and inner workings of data-driven solutions. Key tools and libraries I use include:

• NumPy – for efficient numerical operations and linear algebra.
• Polars & Pandas – for fast, flexible data manipulation and wrangling.
• Scikit-learn – as inspiration for model interfaces, though I often reimplement algorithms to learn deeply.
• Custom modules – I frequently write my own regression, classification, clustering, and optimization code.
• Seaborn – for data visualization and communicating insights.
• Jupyter Notebooks – for exploratory analysis and reproducible research.
• SQL – for advanced querying, data extraction, and database management.
• Excel – for rapid prototyping, data cleaning, and presentation of results.

I'm eager to implement machine learning and data science solutions from scratch—whether it's regression, classification, clustering, or optimization. I enjoy translating mathematical concepts directly into code, ensuring I understand every step of the process and can tailor solutions to unique challenges.

I'm always eager to expand my skill set and stay current with new technologies and languages. Currently, I'm:

• Finishing a Power BI course to add powerful business intelligence and interactive dashboarding to my toolbox.
• Exploring the R programming language to deepen my statistical analysis and visualization skills.
• Curious about the Mojo language for its promise in high-performance data processing.

📞 Feel free to connect as I explore new machine learning techniques, statistical approaches, and data visualization tools! Find me on LinkedIn or email me at pawel.tomasz.nowak04@gmail.com.