Mohak Shah, Head of Data Science at Robert Bosch LLC

Mohak Shah

Head of Data Science, Robert Bosch LLC

Mohak Shah is an analytics leader with over 15 years of experience in organization formation, strategy, and end-to-end data science engagements. He has led analytics and IoT engagements in domains including automotive, aviation, energy and healthcare managing diverse teams from research, software and businesses. As a scientist, Mohak has developed novel machine learning algorithms with high impact business applications. He is the author of “Evaluating Learning Algorithms: A Classification Perspective”, and has published more than 45 research articles, and patents He was the Chair of KDD 2016 and and holds an Adjunct position with the University of Illinois at Chicago.


ADMM-Based Scalable Machine Learning on Apache Spark

Apache Spark is rapidly becoming the de facto framework for big-data analytics. Spark’s built-in, large-scale Machine Learning Library (MLlib) uses traditional stochastic gradient descent (SGD) to solve standard ML algorithms. However, MlLib currently provides limited… Read more