I'm a data scientist with 10+ years of experience, focusing on experimentation, statistical analysis, metrics development, and machine learning models.

I’ve solved problems in various domains, ranging from statistical analyses for Google Assistant product and feature launches for, developing measurement methods and rule engines for harmful/fraudulent ads on Facebook, and building machine learning models to mitigate payment disputes and fraud at Stripe.

That sounds great and all, but I had astonishingly diverse interdisciplinary career journey before I became a data scientist:
An undergraduate degree in Economics from a liberal arts college
Litigation economic consulting working on cases involving credit cards and semiconductors
Health economics outcomes research utilizing statistical analysis to determine drug efficacy and safety
Behavioral economics research in a medical school
Stints at various SEA startups working on computer vision for drones and multi-armed bandits for marketing, teaching myself Python, R, SQL and machine learning along the way

The point of all this is that if someone like me can make it into a successful career as a data scientist, so can you! And I’m here to help you with that, every step of the way.

I’ve led and grown data science teams, taught data science professionally, conducted 150+ data science interviews, served as a product/data mentor for 10+ startups, mentored 10+ individuals into data science roles, and given multiple public talks about data.

I can help you with resume review, interview prep, learning the right skills (hard and soft), presentations and story-telling, stakeholder management, and code reviews. In our sessions, I will bring the methods and resources I've personally used during my career and tailor them to your specific needs.