Projects
Selected projects from my work in data science, machine learning, and full-stack development.
shpetimgashi.com - Portfolio & Interactive CV
The site you are reading. One schema-validated data file drives the rendered CV and the project pages, with a playable 16-bit game CV in Phaser in development against the same source.
Reinforcement Learning for Building-Control Research
Simulation-based reinforcement-learning experiments for control problems in building technology, using PPO with stable-baselines3, Gymnasium and Radiance-based simulation tooling.
Manufacturing Optimisation & Scenario Planning
Decision-support tool formulating a constrained manufacturing problem as a linear program in PuLP, with scenario analysis exposed through Streamlit and Flask interfaces.
Structured Comfort Feedback Platform
A university software-engineering project built around a real-world building-technology use case - a maintainable Flask application for collecting and managing structured user feedback.
Product Configuration & Augmented-Reality Platform
Customer-facing platform for configuring products and visualising them in augmented reality, built with Next.js, React and TypeScript across implementation and delivery work.
Workflow & Reporting Automation
Python and pandas tool that turns structured work-log data into consistent, ready-to-review reporting outputs, replacing a repeated manual preparation step.
Bachelor Thesis - Data-Driven Building Modelling
A study of physics-based and data-driven approaches to thermal building modelling and short-horizon forecasting.
Demand Forecasting & Model Benchmarking
Time-series forecasting pipeline comparing ARIMA/SARIMA baselines with LSTM models, built to establish whether the added model complexity was justified.
Web Data Collection & Automation
Repeatable Python workflows for collecting and parsing web data into structured datasets, using Selenium, BeautifulSoup and requests.