• As a technical lead, I scope and break down projects end-to-end, and help others become more effective data specialists.• Led end-to-end development of a python library for payment transactions labelling, accelerating projects of 6 teams by multiple months.• Led development of real-time spending insights dashboard for economic forecasting, which helped economists win the award for best forecasters of the dutch economy.• Led development of a customer 360 dataset based on predictive models, which enabled analysts to independently create unique reports for tactical decision making (analytics engineering).• Guided 10+ data scientists by helping them scope and break down tasks, reviewing code and mentoring them.• Trained Excel-based analysts in python and SQL, enabling them to independently analyse new data sets.

I focused on two major research questions during my PhD:1. Why do firms cut investment after going public? • Analysed U.S. data to develop a novel mathematical model of public firms • Estimated the model using parallel computing (Particle Swarm Optimisation) on AWS • Results provided useful policy insights for increasing business dynamism in the U.S.2. Why do financial crises always come as a surprise? • Developed a novel mathematical model of financial market trading and investment, providing useful insights for regulators