From building walls to building algorithms - discover my Data Science and AI portfolio.

Data Science & AI

Hi, I’m Maciej Czerniak, a Data Science & AI student interested in building practical, end-to-end technology solutions. My work combines data analysis, machine learning, software development, cloud deployment, and automation.

I enjoy learning how different parts of a system fit together - from preparing data and training models to building applications, deploying solutions, and making them usable in real-world contexts.

Explore my projects below.

You can contact me on any of these channels:

Work Experience

Aug 2026 - Present

Elho

Account Service Representative

Supporting Customer Relations through AI-assisted order processing, business applications, and operational reporting.

  • Work on an AI-assisted Microsoft Power Apps solution that reads Excel and PDF documents and extracts order and invoice details, including EANs, article numbers, customer information, and other information needed to process orders.
  • Debug and troubleshoot the order-processing solution and refine its AI prompts.
  • Use SAP and SugarCRM to support customer and order management.
  • Create Power BI dashboards to monitor orders and logistics performance.
  • Build Power Apps applications tailored to company needs.

Nov 2024 - Present

Breda University of Applied Sciences

Software Developer

Developing and maintaining Python applications for the Places and Flows Lab, combining computer vision, sensor integration, geospatial analysis, and interactive visualization.

  • Built and maintained Python workflows for real-time sensor processing, geospatial analysis, and interactive visualization.
  • Integrated and adapted depth-sensor pipelines, including the transition from Xbox Kinect to Orbbec Femto Bolt.
  • Independently develop simulation software, integrating computer vision with real-time interaction and visualization.
  • Implement sensor calibration and coordinate alignment between physical models, digital maps, and projected output.
  • Develop obstacle-detection and simulation logic to translate physical input into traffic-flow behavior.
  • Built interactive geospatial features, including tree-planting, viewshed analysis, and topography simulations.

Last Projects

My story

From building walls to building algorithms, I’ve always been driven by a passion for creating and problem-solving.

In high school, I followed a builder profile, which gave me practical skills and a mindset focused on making, fixing, and improving things. At the same time, my curiosity for technology was growing outside of school - mostly while playing video games and modifying them to improve my own gameplay. Installing mods often meant tinkering with bits of code in languages I didn’t even recognize back then. Later, I also started writing small scripts for bots - simple apps that could play parts of the game for me. Those experiments sparked a fascination with how code could automate tasks and create new possibilities.

After graduation, life took me in a different direction. I spent almost nine years working in various industries, gaining experience in teamwork, responsibility, and solving problems in hands-on environments.

Eventually, I wanted to try something new - and I reminded myself of the excitement I felt when “coding for fun.” That decision led me back to education, this time in a completely new field: Data Science and Artificial Intelligence. Today, I’m combining my practical background with modern technical skills, eager to keep learning and building solutions that make a real impact.

Beyond academics and work, I’ve always been passionate about sports. Over the years I’ve practiced many disciplines - from running and soccer to gym and fitness - and I still stay active. Sports keep me motivated, disciplined, and remind me that progress comes step by step, just like in learning and coding.