Berlin, Berlin, Germany
Data professional in the energy industry, generating value with data through the utilization of machine learning techniques.
Analysis for hedging and trading energy.
Technical Lead for W2F-AI project: Improving the weather to wind power production forecast by >20% mean absolute error. - desgining the architecture and implementing key features - planning the project, creating tasks, reviewing code, supporting the team, communicating to stakeholders - inspire team members to keep learning and growing Technical Lead for SpotEx Japan Project: 20+ customers in the first year after launch - present volue insight in Japan to convince first customers to sign Developed machine learning models that are forecasting short-term electricity prices for over 40 european and japanese price regions up to 100days into the future. Timeseries forecasting with machine learning, optimization of energy flows using linear programming, keep the model and the data flow running in production 24/7. Tools: Python, Sklearn, Tensorflow, Pandas, API, Google Cloud Platform
Developed a machine learning model to forecast electricity prices for the continuous intraday market. Refactoring the legacy java code. Tools: Python, Java, Google Cloud Platform
Scrum Master in a scaled scrum project (SAFe). Certified as a Scrum Master in 2018.
Developing and researching about optimization algorithms with applications in logistics. Python, R, Mixed integer programming with Gurobi
Logistics optimization. R, Python, PostgreSQL