With over six years of experience applying Data & AI practices in the energy sector, my ambition is to lead digital transformation initiatives that accelerate the shift toward a low-carbon, intelligent energy future. I have managed projects across utilities and end users, turning complex data into actionable insights that drive energy optimization. Developed and led data initiatives from piloting digital solutions to deploying advanced analytics, with a strong understanding of what it takes to deliver impactful, scalable solutions in the energy industry.
As part of a newly established team focused on the digital transformation of energy utilities, I support the development of initiatives that enhance data-driven decision-making and promote long-term sustainability. My role includes demand forecasting, stakeholder engagement, and laying the groundwork for future data product development.
Key responsibilities:
As a Data Scientist, I have led the development of energy baselining within the energy management portfolio for commercial refrigeration, as well as an auto-commissioning tool for district heating utilities. My role combined deep technical expertise with cross-functional collaboration, while also contributing to the growth and development of team members.
Key achievements:
The Danfoss postgraduate program presents a transformative two-year development journey , delivering a distinctive chance to participate in four mission-critical projects. This program plays a pivotal role in nurturing not only professional advancement but also personal growth.
The overarching aim throughout this program has been to nurture a holistic outlook on the decarbonization of urban areas through the digitalization of the built environment.
Key Achievements:
Developed a versatile District Heating Network (DHN) model capable of precise prediction of temperature and pressure losses, while also being adaptable for accommodating new network users.
Key Achievements:
Company Specialized in fluids, thermal, solar installations, and LED lighting.
Key Achievements:
Advanced professional skills to design a 15KW photovoltaic installation , utilizing Excel, PVSyst , and problem-solving techniques to optimize sizing based on client energy demands.
Programming for Data Science with Python - Udacity
Flexible district heating network model that predicts mass flow, pressure andtemperature losseshttps://vbn.aau.dk/en/publications/book-of-abstracts-5th-international-conference-on-smart-energy-sy
Female Leadership Academy
The PowerMBA - Future Leaders, Business Expert
Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI - Massachusetts Institute of Technology (MIT)