About Me
Hi, I’m Simon — a data scientist and software developer currently working on my Master’s in Data Science at Bryant University in Rhode Island. I also work as a Graduate Assistant in the Information Systems & Analytics Department, where I get to support research and build technical projects.
Before this, I studied Computer Science at Mendel University and spent a semester abroad at Oregon State University diving into computer science and marketing. I’ve worked in data analysis, full-stack development, and automation — from collaborating with national sports organizations to developing commercial software that thousands of people use worldwide.
I’m passionate about using data to solve real problems, especially in sports, finance, and applied AI.
Projects
Predictive Analytics for Czech Basketball League: Player Performance & Strategy Optimization
Built a machine learning model to predict player performance and help optimize game strategies for teams in the Czech basketball league. By applying advanced analytics, I was able to give coaches and management actionable insights that supported smarter decisions and a stronger competitive edge.
Python
Pandas
NumPy
Scikit-learn
XGBoost
Matplotlib
Seaborn
Flask
Jinja
SQLAlchemy
MySQL
Tennis Video Analysis: Automated Player & Ball Tracking
Created a computer vision pipeline to analyze tennis match footage by automatically detecting and tracking players and the ball, mapping court lines, and visualizing shot trajectories for performance analysis. Combined deep learning with traditional vision techniques to make the system accurate and reliable.
Python
Jupyter Notebook
NumPy
OpenCV
YOLO
Matplotlib
Reawote Material Loader Plugins for 3D Programs
Developed a set of plugins with Reawote ↗ that let 3D artists easily load PBR materials from the Reawote library into major tools like Cinema 4D, Blender, SketchUp, and 3ds Max. The plugins streamline workflows across different platforms and scripting environments, making it faster and simpler for designers to work with high-quality materials.
Python
Ruby
MAXScript
JavaScript
HTML
CSS
Modular PHP System for Dynamic Form Management
Developed a PHP-based module for managing user-specific forms and workflows within a larger platform. The system enables dynamic form assignment, role-based access, file uploads, and status tracking, and integrates directly with user data. Built with flexibility in mind, it is adaptable to various internal use cases such as onboarding, progress monitoring, and administrative automation.
PHP
JavaScript
MySQL
HTML
CSS
Email
LinkedIn
GitHub