I'm a Data Scientist who has worked in Tech, Finance, Consulting and Startups and love building AI and Machine Learning products in all of these areas. At McKinsey QuantumBlack I help businesses of various sizes in industries such as automotive and healthcare solve problems using quantitative methods. I lead teams specializing in pharmaceutical commercial optimization engines to drive new patient growth.I bring a combined 13 years of financial and tech industry experience along with a graduate degree in Statistics from Stanford. My focus is on real world, business problem solving using the most pragmatic tools for the job, and my goal on any given day is to learn stuff faster than I add new things I want to learn.I have experience across the full end to end technical flow (from provisioning AWS compute to releasing models to production), managed workplans and resources, and pitched solutions to get signoff from senior stakeholders both internal and at clients.My leadership style is hands off, but available. I would rather let the team get on with their work, while being readily at hand to help debug, do code review, or pair code to unblock as needed.Data Science | Machine Learning | AI | Applied Statistics | Deep Learning | Computer Vision | Python | R | C++ | SQL | pandas | scikit-learn | pytorch | pyspark | Quantitative Research | ETFs