I've worked in Finance, Tech and Startups and I love building Machine Learning solutions in each of these areas. I run a Data Science consulting firm which brings the benefits of workflow automation and data driven decision making to traditional businesses.
I've worked at companies with from 1 to 200,000+ employees, and I love learning about ideas from diverse areas.
I graduated from Stanford with a Master's in Statistics (Data Science track) in 2020. I work in python, R, SQL and C++ and my favorite part of the field is Computer Vision.
I worked in London and New York for 9 years as an ETF trader at Bank of America Merrill Lynch. ETFs are great because they range from vanilla to highly esoteric so there's always something new to learn!
Most recently I've been involved in startups, taking a fashion platform to MVP and building an analytics dashboard for a trading partnership in the SPAC market.
I have completed extended personal projects using deep learning, causal inference, and a fast growing area called topological data analysis.
Interested in collaborating, or think my skills are a fit for your company? Get in touch, I'm always looking for new projects.
I grew up in London and have also lived in New York and the Bay Area. When I'm not number crunching I love travelling and have been to over 50 countries; my favorites are Thailand and Brazil.
I'm a big music fan, especially deep house and freestyle. The best year ever for pop music was 1996. I DJ for fun and have played events in 3 continents, including one I organized in London!