Pramit Choudhary

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I am a seasoned DataScientist. My area of interests is Statistical / Machine Learning modeling( Bayesian and Frequentist Modeling techniques ). In my past life I have lead initiatives and worked on solving problems related to predicting pre-emptive measure to avoid failure for improving operating efficiency in Oil n Gas Industry, social media analysis, recommendation engines, match-making using statistical models, fraud-detection, natural language processing and others. Currently, I am curious about how to efficiently understand the true nature of predictive models and that could lead to better testing and evaluation of the same.

machine learning analytics big data datascience deep learning statistics bayesian learning neural network recommendation engine uci nlp spark optimization

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Pramit Choudhary

Model Evaluation in the land of Deep Learning

Human in the loop: Bayesian Rules Enabling Explainable AI

Model evaluation in the land of deep learning

Learning to learn - to retrieve information

Learning to Learn Model Behavior ( Capital One: data intelligence conference )

Scalable analytics with spark and scala system(sassy)

Learning to Optimize

Need for Time series Database