Fundamentals of Predictive Modelling

Required student qualification:

Lower Undergraduate

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



150 hours


Santanu Sinha

14+ years of Industrial & Research experience in designing & developing implementable solutions for complex business problems related to supply chain, operations, sales, marketing, and other allied fields – across industries.

Strong expertise in Quantitative Modeling with Advanced Analytics & Data Science skills, including Statistical Analysis, Mathematical Modeling, Machine Learning, Artificial Intelligence, Deep Learning, Game-Theory, Simulation, and Optimization.

Deep problem-solving skills with a blend of management consulting and strong analytical research ability.

Co-author of 25+ Research papers & Book Chapters - published in reputed International Journals & Conference proceedings.

Invited speaker & adjunct faculty at IITs/IIMs and other institutes of repute.

Chandra Mouli Kotta Kota

Have strong academic back ground (M.Sc Mathematics from IIT-Madras ) and 15+ years of experience in Marketing Analytics(CSI, CLM & Pricing), Risk Analytics(Credit Risk), Operations Analytics, Web Analytics and Business Intelligence in consumer & commercial banking, Insurance(P&C, Health), Retail, Telecom and Media for various clients in several countries across US, Asia, Australia and Europe.

Experience in development of Marketing & CRM Models (Acquisition, LTV Models, Cross Sell & Upsell, Attrition Models), value based pricing Models and Credit Risk scorecards (PD Models for Credit Cards, Consumer Loans and Insurance Portfolios) also worked on validation of all the models.

Have experience in Multivariate Analysis Techniques like Linear & Logistic Regression, Survival Analysis, Segmentation (Clustering & Decision Tree’s), Machine learning (Ensemble Learning, ANN, SVM, KNN, NB etc), Deep Learning, Text Mining, Association Analysis and forecasting techniques etc.

Conducted trainings & Implementation workshops for various clients and trained 5000+ individuals.

Have experience in different Analytics tools like SAS, SPSS, SQL, SAS EM, SPSS MODELER, HADOOP, SPARK R,PYTHON, TABLEAU, ALTERYX etc.

Apart from regular work, managed team of 20+ Data Scientists as part of work.

Trained & Tested in Lean & Six sigma Green Belt(DMAIC & DFSS Methodology).


Marketing Analytics

Risk Analytics

Operations Analytics

Advanced Analytics

Machine Learning

Deep Learning


Big Data Analytics

Data Science

Scorecard Development

Statistical Analysis

Campaign Analytics

Customer Relationship Management(CRM)

Customer Life Cycle Management

Business Intelligence(BI)

Data Mining

Enterprise Data Warehouse(EDW)