About Philip
Dutch
Native or bilingual
English
Native or bilingual
German
Basic
Experience
- Aurora Energy Research,Product Manager & Team LeadApril 2023 - Today (3 years and 2 months)Berlin, GermanyI was given the opportunity to start from scratch a new software product in the area of solar PV power, which by now has been launched in 3+ European countries. My responsibilitieshave ranged widely:
- Develop product concept
- Build core model for solar PV generation and develop backend pipeline
- Collect >TB worth of meteorological (irradiance) input data and connect data pipeline with core model
- Spearheading and managing work streams related to modeling entire solar fleets across each of power markets served by Aurora globally (EMEA/USA/Asia-Pacific) based on the simulation of thousands of individual solar PV assets
- Managing a team of 3 analysts feeding into different work streams
- Proactive stakeholder management of both external and internal (development/commercial/research/advisory teams) clients
- Aurora Energy Research,AssociateJuly 2022 - April 2023 (9 months)Berlin, GermanyAurora is a fast-growing research consultancy by Oxford University and former consultants of top tier firms. Aurora provides key stakeholders of the energytransition across the globe with forecasts, analytics, and insights. My responsibilities as an associate in the Dutch research team revolved around the analysis of developments in policy, technologies, and market conditions insofar they affect the the Dutch power market from aquantitative perspective.
- Metyis - formerly YGroup,Data Science LeadJanuary 2020 - January 2022 (2 years)Amsterdam, NetherlandsMetyis is a fast-growing consultancy firm heavy on data science & engineering besides strategy & implementation. At Metyis, I have worked on several projects with varioustechnologies, including but not limited to the following:{ At a European supermarket firm, I designed and implemented a pricing algorithm for the full assortment in the Dutch market based on algorithmically estimated price sensitivities,resulting in multiple added million euros in gross margins.{ At the European head office of a large fashion company (>9 BN in annual revenue), I developed predictive machine learning models targeting the propensity to purchasebased on clickstream data on visitor behavior on the web shop. Additionally, I facilitated adoption of the model into the client's business by collaborating with the marketing teamon the client side.{ At the same firm, I was lead developer of a software tool for supply chain planningwith integrated
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Education
- MScErasmus School of Economics2018MSc
- Pre-masterErasmus School of Eco nomics2016Pre-master