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Werkervaring
- PwCSenior Associatedecember 2020 - januari 2024 (3 jaren en 1 maand)Amsterdam, Netherlands• Expert in machine learning and financial modeling.• Led data-driven financial risk assessments using Bayesian methods.• Developed predictive models for credit risk• Built ML models for corporate default probability.• Developed numerous interactive dashboards and reports in Power BI, supporting data-driven decision making.Financial services: Involved in a rate curve development project. Inwhich we compared theinterest rate curves of the client to the standard and other banks.Furthermore, worked onan IBOR transition topic. Helped with smoothing processes, makingfinancial reports and allkinds of data related tasks.• FINCAD/DAT/Bloomberg: Gained quite some knowledge onderivative valuation with theFINCAD model.• Insurance company: Data quality assessment of non-economicalassumptions• L&D: Made a workshop for real estate agents as an introduction tomachine learning.• SQL review: Performed SQL reviews for all kinds of companies.
- ZandersResearcherjanuari 2020 - maart 2020 (3 maanden)Bussum, NetherlandsDeveloped advanced machine learning models to estimate and monitor corporate default probability, improving risk forecasting accuracy across financial portfolios.
- VastgoedpromotieManagerjanuari 2016 - januari 2021 (5 jaren)The Hague, NetherlandsOversaw real estate investment strategies, including market analysis, portfolio optimization, and negotiation of high-value property acquisitions and sales.
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Opleidingen
- Bachelors Applied PhysicsTU Delft2018Graduated with Cum Laude
- Masters Econometrics specialized in Quantitative FinanceErasmus University Rotterdam2020
Diploma's
- Azure Data Science AssociateMicrosoft2021
- Azure fundamentalsMicrosoft2021