Currently, he is teaching business analytics along with other data science and engineering techniques. He is well versed with big data analytics through Apache Spark and Hadoop; survey data analytics through R Language, Python, Scilab, Octave, Fremat, SAS, SPSS, Excel and etc. His academic interests are statistical diagnosis, multivariate analytics, simulation, optimization, neural networks (AI) and parallel computing for big data. He also often engages in writing research articles on health care management, educational management, food & agriculture business, open source software and spiritual practices in business organizations. He is advocate of open source software and has conducted few workshops and seminars on open source software tools for data analytics.
- Introduction to R programming
- Predictive Analytics
- HR Analytics
- Business Analytics – 2
- Research Methods for Business