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 support research and contribute to applied data initiatives.
Before this, I studied Computer Science at Mendel University and spent a semester abroad at Oregon State University where I also took business courses alongside computer science. 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 machine learning models including Random Forest, XGBoost, CatBoost, and Keras neural networks to predict player performance and optimize game strategies for teams in the Czech basketball league. By applying advanced analytics, I provided coaches and management with actionable insights that supported smarter decisions and a stronger competitive edge.
Python
Pandas
NumPy
Scikit-learn
XGBoost
Matplotlib
Seaborn
Flask
Jinja
SQLAlchemy
MySQL
StatistIQ: Mobile App for Basketball Insights
Developing a mobile application that analyzes NBA and EuroLeague data to deliver real-time game insights. The app shows win probabilities for both teams, projected points scored, overtime chances, and other advanced metrics. It applies machine learning models to transform raw game data into clear, actionable information, presented through an intuitive mobile interface.
Swift
Firebase
Python
Pandas
NumPy
Scikit-learn
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
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
Snake Game in Java
Created this project to strengthen my programming skills in Java and to explore fundamental game development concepts. It recreates the classic Snake game, covering topics like object-oriented design, game loop implementation, keyboard input handling, and collision detection — resulting in a simple but fully playable game.
Java
JavaFX
Email
LinkedIn
GitHub