
PV Forecast
Date: 2026Forecasting photovoltaic energy production from historical and weather data.
Mathematics graduate and Data Science & AI Engineering bootcamp graduate from WBS Coding School Berlin, building data-driven applications, machine learning models, dashboards, APIs and full-stack AI tools.
1def build_forecast(history, weather):2 data = prepare(history, weather)3 model = train(data)4 forecast = model.predict(data)5 return api.publish(forecast)6# data โ model โ API โ dashboardTools I build with every day
My background combines a mathematics degree with Data Science & AI Engineering training and practical web development. I work across data preparation, machine learning, APIs and responsive frontend applications to turn an idea into a usable tool.
More about meA mathematics background supports structured problem solving, model reasoning and careful interpretation of results.
I work with data cleaning, visualisation, predictive analytics, machine learning and natural language processing.
Full-stack experience lets me connect models and data workflows to APIs, dashboards and deployable applications.
Data science, AI and full-stack projects built around concrete technical and business workflows.

Forecasting photovoltaic energy production from historical and weather data.

Local RAG chatbot for public sector legal information retrieval.

Multiplayer Yahtzee and poker platform with real-time game workflows.
From Python and scikit-learn to FastAPI, React and Docker โ tools I use to move from analysis to a working application.
I am open to Data Scientist, Machine Learning Engineer, AI Engineer and full-stack data or AI development opportunities.