EXPANDING THE WORLD OF EXPERTISE IN
I am dedicated to advancing the frontiers of understanding of data science, machine learning, and statistics for the greater community. I do this through free online lectures, academic research papers, and open source software development.
My consulting work funds my community contributions. It also exposes me to real-world challenges in data science that inform my research, teaching, and software.
In addition to traditional longer-term consulting projects, I can be booked for "quick consults" ranging in length from 15 minutes to 1 hour.
Ph.D. Applied Math, Brown University
B.A. Applied Math, Harvard University
I have a track record of designing and deploying real-world predictive models:
Clinical Decision Support at Parkland Hospital / PCCI
Fraud Detection at Guardian Analytics
Consulting engagements at small startups and large public companies
I have a deep understanding of machine learning techniques:
Recently published in top-tier AI conference (AISTATS 2020)
Taught Computer Science and Data Science at institutions such as UC-Berkeley, USF, and the Metis Data Science Bootcamp
Creator of open-source projects StructureBoost, ML-Insights, and SplineCalib
I can teach and communicate effectively, to help you learn and solve your own problems.
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Use the form below to send me a brief message with any questions or comments