Hafiz Muhammad Zain

• Develop predictive models for Day ahead, intraday electricty pricing and imbalance in Belgium and Germany using Python, focusing on regression and advanced time-series analyses with ENTSO-E, Open Elia data and montel APIs. • Provide consultancy on digital energy solutions, specializing in structuring and forecasting for various PPA models, including solutions on revenue generation by becoming BRP or energy trader.

• Automate financial models to optimize revenue scenarios, including floors, debt, and ROI calculations for offtakers, enhancing decision-making and profitability. • Streamline PPA pricing processes by automating data extraction from Excel using Python libraries like Pandas and Openpyxl. • Analyze energy storage (BESS) and solar potential in Spain and South Africa, creating visualizations of energy yield, dispatch, and price curves to support strategic planning and deployment

• As an intern, collaborated with cross functional teams of energy and design. • Hands on experience on Autocad, Revit, Python and Jira. • Assisted Modelling and design teams for building energy utilities. • Worked in self managed, curious and fast paced environment with implementation of higher connectivity and communication skills.

Subjects include: Energy economics Data science for energy system modelling Sustainable energy for on grid and offgrid systems Energy engineering