Shashank Shekhar is a data analyst and open source enthusiast. He has contributed to Superset and pymc3 (the Python Bayesian machine learning library), and maintains several public repositories on machine learning and data analysis projects of his own on GitHub. He heads up the data science team at HyperTrack, where he designs and implements machine learning algorithms to obtain insights from movement data. Previously, he worked at Amino on claims data. He has worked as a data scientist in Silicon Valley for 5 years. His background is in systems engineering and optimization theory, and he carries that perspective when thinking about data science, biology, culture, and history.
I would like to take this opportunity to thank my mentors, Ashish Anand, Prashant Ishwar, Prashant Kukde, and Sameera Podduri, for guiding me and setting me up on a path where I could learn about my interests and improve the skills that I required while doing so. I was lucky enough to meet them over the course of the last six years. I owe my success in writing this book, and the many goals that I am motivated to achieve in the future, to them.