Speaker: Lara Kattan

Lara Kattan

Lara is a senior data scientist and instructor at Metis Data Science Bootcamp, where she teaches data science with a Python stack, including SQL and AWS. She comes to Metis from McKinsey, where she worked with financial institutions on risk modeling. Prior to settling into the practical world of consulting, Lara received a master's from the University of Chicago, where she had the privilege of thinking about problems with no real-world implications. The statistical elegance of data science is what animates her the most, but she gets her biggest joy from demystifying the math for all audiences. If forced to snap out of her mathematical reveries, she's probably doing yoga, riding a bike, or drinking too much coffee.

Presenting:

120-minute Tutorial: Probabilistic Programming and Bayesian Inference in Python