I am the author of the first and second editions of Mastering Machine Learning with scikit-learn. I have previously taught General Assembly's introductory data science course. I have worked in machine learning engineering and data science roles at several NYC startups over the past 8 years.

I am a 3rd-year Ph.D. advisee of Dr. Amit P. Sheth at Kno.e.sis Center working on National Institute of Health (NIH) and National Science Foundation (NSF) funded projects involving deep machine learning, knowledge engineering, natural language processing, ontology development, and information retrieval with specific applications to healthcare. I have been a "data science for social good" fellow with the University of Chicago working on challenges concerning patient and primary doctor matchmaking. I co-founded a start-up in intelligent financial advising using state-of-the-art chatbot technology and other interdisciplinary approaches to make people ...

I'm a thoughtful and goal-oriented software engineer with experience in Python, C++, Rust, algorithms, machine learning, computer vision, robotics, and electronic hardware prototyping.

If you've always wanted to get started with robotics or deep-learning but have had a hard time being consistent with it, then I'm the right mentor for you!

Medium: @mithi
Github: mithi