Fundamentals of Predictive Modelling

Required student qualification:

Lower Undergraduate

Requires extra purchases (Books, school supplies, etc.):



150 hours


Sujata Suvarnapathki

Experienced Professor with a demonstrated history of working in the higher education industry. Skilled in Statistics, Research, Data Analysis, Lecturing, and Science. Strong education professional with a M.Sc. focused in Statistics from University of Mumbai.

Vinayak Deshpande

  • M.Sc. Statistics, Mumbai University (1997),First Rank
  • Professor- Ramnarain Ruia College (1997-2007)
  • Founder, Managing Director: Sankhya Analytical Research Pvt. Ltd. (2007)
  • Director: Medicounts Life Sciences Pvt Ltd(2013)
  • Principal Consultant: Direxions Marketing Solutions Pvt. Ltd. (2013)
  • Provided consulting services to reputed clients in India, USA and Korea in BFSI, Retail,
  • FMCG and Pharma domains
  • Published papers on biostatistics, marketing analytics ,econometrics
  • Member-Board of Studies St. Xaviers College, Mumbai
  • Member-Board of Studies SIES College, Mumbai
  • Member-Board of Studies Ramnarain Ruia Autonomous College, Mumbai
  • Member-Data Safety Monitoring Board (Alkem Laboratories and Glenmark Pharma)

Recent research papers:

  1. Evaluating Principal Component Regression in case of severe Multicollinearity.
  2. Comparison of predictive modeling methods: Naïve Baye’s,Logistic Regression and
  3. Support Vector Machines.

Snigdha Pain

Snigdha is Professor of Statistics at Lady Brabourne College, a leading college for women’s education. She has an MPhil in Computer Application of Statistics and has published many academic papers focused on healthcare and nutrition. In addition to over 15 years teaching core statistics, has over five years’ experience teaching data science and advanced analytics with R, Python, C, SPSS and business intelligence tools. Snigdha also consults to industry and has had many assignments in healthcare and the pharmaceutical sector.