Tarun Sukhani has 16 years of both academic and industry experience as a data scientist over the course of his career. Starting off as an EAI consultant in the USA, Tarun was involved in a number of integration/ETL projects for a variety of Fortune 500 and Global 1000 clients, such as BP Amoco, Praxair, and GE Medical Systems. While completing his Master’s degree in Data Warehousing, Data Mining, and Business Intelligence at Loyola University Chicago GSB in 2005, Tarun also worked as a BI consultant for a number of Fortune 500 clients at Revere Consulting, a Chicago-based boutique IT firm focusing on Data Warehousing/Mining projects. Within the industry, he worked on ETL/Data Science/Machine Learning projects at Profitera, Experian, Atex, E-Radar, ICarAsia, and Max Money. Some of the tools employed during his career included Oracle BI, Informatica, Cognos, Business Objects, Pentaho, Apache Mahout, Spark MLib, Apache UIMA and Temis. Tarun continues to work within the BI space, most recently focusing his time on Deep/Reinforcement Learning projects within the Fintech sector.
Tarun has worked on parametric statistical modeling as well within the Data Science and Big Data Science space, using tools such as SciPy in Python and R and R/Hadoop for Big Data projects.
Tarun is the principal Data Science trainer for iTrain Asia Singapore.