Directed end-to-end credit model development in Python, overseeing all stages from data pre-processing to model implementation, testing, and deployment.
Re-platformed Private Equity CFO credit model to Python, utilizing numpy, numba and pandas, resulting in 100x performance speed-up.
Implemented new features into a machine learning ratings model that enhanced user experience, producing 50x increase in efficiency.
Collaborated with cross-functional teams to integrate new model into existing systems, resulting in increased productivity.
Wrote and compiled extensive technical model documentation using Sphinx.
Worked with a team of developers using version control (Git) as well as server deployment of models on AWS.
Post-doctoral Researcher
Imperial College London
09.2022 - 03.2023
Used Monte Carlo modelling to simulate millions of particle trajectories and interactions with distributed computing.
Handled large datasets in Python, performing data analysis and delivering key insights to Rolls-Royce for novel nuclear engineering concepts.
Research Consultant
WorldQuant
04.2019 - 12.2019
Created 30+ market neutral, alpha generating trading strategies, achieving 2nd place in Imperial college Algothon.
Senior Director/Senior Analyst at Fitch Ratings, Inc., Fitch Ratings, Ltd. and its subsidiariesSenior Director/Senior Analyst at Fitch Ratings, Inc., Fitch Ratings, Ltd. and its subsidiaries