Nandini Seth

Nandini is a doctoral candidate at IIM Bangalore, working on analysing digital footprint data using Reinforcement Learning models. Her work has wide-spread implications in designing and improving digital marketing strategies for B2C and B2B firms with uncertain customers and dynamic environment. Her methodological expertise is in Statistics, Optimisation Theory, Machine Learning and Stochastic Models. Prior to this, Nandini holds a bachelors degree in pure Mathematics and a masters degree in Operational Research along with brief stints in risk analytics and retail analytics. She is also a freelance consultant and teaches corporate courses on big data analytics. She was featured by Humans of Analytics as a woman in analytics to be followed.

Nandini was the recipient of the prestigious Tata Motors Fellowship for research and is also associated with ISB Hyderabad as a DIRI Fellow.

Education

Ph.D. Decision Sciences (Candidate) IIM Bangalore

MSc. Operational Research, Faculty of Mathematical Sciences, University of Delhi

BSc. (H) Mathematics, Hansraj College, University of Delhi

Publications (Books)

1. Rahul, K., Seth, N. and Kumar, U.D., 2018, December. Spotting Earnings Manipulation: Using Machine Learning for Financial Fraud Detection.In International Conference on Innovative Techniques and Applications of Artificial Intelligence (pp. 343-356). Springer, Cham.

2. Bhandari, A., Rama, K., Seth, N., Niranjan, N., Chitalia, P. and Berg, S., 2017, July.Towards an efficient method of modeling “Next Best Action” for Digital Buyer’s journey in B2B.In International Conference on Machine Learning and Data Mining in Pattern Recognition (pp. 107-116). Springer, Cham.

3. Improving Lead Generation at Eureka Forbes Using Machine Learning Algorithms July 2019, Harvard Business Publishing

4. Improving Customer Engagement at VMWare through Analytics March 2017, Harvard Business Publishing