Researcher, developer and data scientist. Diego De Lazzari is an applied physicist with a rather diverse background. He spent 8 years in applied research, developing computational models in the field of Plasma Physics (Nuclear Fusion) and Geophysics. As a Research Geophysicist at Shell Global Solutions, He developed “data-driven” applications to predict and extract small, usually unwanted features in large seismic datasets. Diego holds a Ph.D. in Applied physics from Eindhoven University of Technology and is interested in energy industry, energy scenario modeling and global trends for business and society. At NYC Data Science Academy he designed a recommender system for job postings using data scraped from Glassdoor.com. He also built a classifier for highly imbalanced data, to predict the occurrence of defective parts in Bosch manufacturing line. This is part of an ongoing Kaggle competition where he scored in the top 15% of the public leaderboard.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
