Anamol Pundle

Anamol Pundle, PhD, is an experienced data scientist with a strong background in mechanical engineering and applied mathematics. Anamol held positions as a Data Science for Social Good Fellow at the University of Washington's eScience Institute, where work involved identifying and analyzing traffic patterns in Seattle. Previous roles included Graduate Engineer Trainee at Larsen & Toubro, and research internships focusing on combustion and structural integrity at the University of Washington and the Indian Space Research Organisation. Anamol served as a Data Science Fellow at Insight Data Science, where extraordinary tools for literary document verification were created, and later worked at Meta as a Data Scientist and now a Senior Data Scientist, leveraging extensive data analysis and programming skills. Educational qualifications include a BE in Mechanical Engineering, a Master of Science in Mechanical Engineering, and a PhD in Mechanical Engineering from the University of Washington, along with a Master of Science in Applied Mathematics.