Ambarish Joshi is a data scientist at Pivotal, with a background in software engineering, statistics and machine learning. Previously, he worked at an education startup where he led the analysis of student performance including predicting the end of the year scores, classifying high-risk students and identifying anomalous student behaviour to help educators effectively intervene struggling students. He worked with Carnegie Mellon researchers to perform controlled experiments to analyze student behaviour. He has recently worked on a variety of use-cases focusing on Geospatial data, Log Analysis, Voice Recognition and Deep Learning. He has a passion for operationalization of data science models to build smart apps and holds an M.S. in Information Systems from Carnegie Mellon University.

Ambarish Joshi presents 1 Event:

• Agile Data Science on Greenplum [using Airflow] at Postgres Conference