At: MINDBODYLocation: San Luis Obispo, CA Web: www.mindbodyonline.comPosition: Business Intelligence Analyst II

By Jay Budzik, Chief Technology Officer, ZestFinance

pandas is a powerful, open source Python library for data analysis, manipulation, and visualization. I’ve been teaching data scientists to use pandas since 2014, and in the years since, it has grown in popularity to an estimated 5 to 10 million users and become a “must-use” tool in the Python data science toolkit.

By Nils Schlüter, Software Engineer

At: Cummins Location: Columbus, INWeb: www.cummins.comPosition: Advanced Analytics Systems Architect Principle

Yair prepared this graph of average district vote (imputing open seats at 75%/25%; see here for further discussion of this issue) for each House election year since 1976:

Given a set of predictor variables and a response variable, how much information do the predictors have about the response, and how is this information distributed between unique, complementary, and shared components Recent work has proposed to quantify the unique component of the decomposition as the minimum value of the conditional mutual information over a constrained set of information channels. We present an efficient iterative divergence minimization algorithm to solve this optimization problem with convergence guarantees, and we evaluate its performance against other techniques. Computing the Unique Information

At: Intuit Location: Mountain View, CAWeb: intuit.comPosition: Staff Experimentation Data Scientist

Management of Deterministic and Stochastic Projects (ProjectManagement)Management problems of deterministic and stochastic projects. It obtains the duration of a project and the appropriate slack for each activity in a det …