Jared Lander is the Chief Data Scientist of Lander Analytics a data science consultancy based in New York City, the Organizer of the New York Open Statistical Programming Meetup and the New York R Conference and an Adjunct Professor of Statistics at Columbia University. With a masters from Columbia University in statistics and bachelors from Muhlenberg College in mathematics, he has experience in both academic research and industry. His work for both large and small organizations ranges from music and fundraising to finance and humanitarian relief efforts.
He specializes in data management, multilevel models, machine learning, generalized linear models, data management and statistical computing. He is the author of R for Everyone: Advanced Analytics and Graphics, a book about R Programming geared toward Data Scientists and Non-Statisticians alike and is creating a course on glmnet with DataCamp.
Machine Learning in R Part I(Full-Day Training)
Machine Learning in R Part II(Full-Day Training)
Srinivas leads ZS AI Research Lab with a focus on frontier innovation and development of cutting edge algorithms. Srinivas’s core expertise areas include automated machine learning, natural language processing, and marketing AI across industries. He has authored several thought leadership articles and presented at conferences. Prior to joining ZS, Srinivas spent time as a solution architect building expert systems to automate product design and manufacturing across multiple industries viz., automobile, power systems, medical devices and retail
Lara is a Data Science Manager at EY and occasional adjunct at the University of Chicago’s Booth School of Business, teaching Python and R. Previously she’s taught a data science bootcamp and built risk models for large financial institutions at McKinsey & Co.
Probabilistic Programming and Bayesian Inference with Python(Half-Day Training)
Lore Dirick is Director of Data Science Education at Flatiron School (https://flatironschool.com). She joined Flatiron School in May 2018, where she built Flatiron School’s 15-week Data Science Program, that by now has graduated hundreds of students globally, from the ground up. Before joining Flatiron School, Lore worked as a Curriculum Lead for online data science school DataCamp, where she built out the R and Python curriculum and taught online data science courses to over 70,000 students. She earned a PhD in Business Economics at KULeuven (Belgium), where she was a member of the statistics department and performed research on advanced credit risk modeling techniques.
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