Shpetim Gashi
Data Scientist, Forecasting & Optimisation
About me
Data science and software development at HELLA InnovationLAB from 2022 to 2026, from dual study to project lead of a reinforcement-learning research project. Python for time-series forecasting, linear optimisation and reinforcement learning, plus the tested software around the models: selected users worked productively with a material optimisation tool I further developed before I left.
Technical focus
- Programming Languages
- Python, TypeScript, JavaScript, SQL
- Machine Learning & AI
- Time-Series Forecasting, Demand Forecasting, SARIMA, SARIMAX, statsmodels, LSTM, Reinforcement Learning (PPO), TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Feature Engineering, Linear Programming (PuLP), Building Energy Modelling (R-C)
- Databases & Data
- PostgreSQL, SQLAlchemy, SQLite, Data Pipelines, Power BI, Data Visualisation
- Backend
- REST integration, Flask, Node.js, Streamlit
- Frontend
- React, Next.js
- Testing
- pytest, pytest-cov, Playwright, Vitest
- DevOps & Tooling
- Git / GitLab, CI/CD, Docker, Linux, Jira, Confluence, Scrum, GitHub Issues, AI-assisted development (coding agents)
Beyond work
Away from the keyboard I lift at CrossFit, ride, and cook things I have not cooked before, usually with a book or a game somewhere nearby. I'm drawn to RPGs, roguelikes, and the occasional Pokémon run for the same reason I enjoy engineering: systems worth figuring out.
- Gaming (RPGs, Roguelikes, Pokémon)
- CrossFit
- Cycling
- Cooking
- Reading