Admissions Open for PGDM 2021-23

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Mr. Gururaj Khasnis, Admission Manager
Tel. No. +91-821- 2429722 | Extn.2012
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Campus News

Webinar on Spend Management in SCP

Mr. Badrinath Waiker, Solution Manager, SAP Ariba, delivered webinar on the topic “Spend management in the context of global supply chain and procurement” to the PGDM 2019-2021 Batch on October 17, 2020. The session revolved around understanding spend management in the context of COVID-19, understanding the importance of Supply chain management, and how technology has transformed the supply chain management process. The session was made more illustrative by Mr. Waiker's real-life corporate examples. Mr. Waiker is an alumnus of SDMIMD.

MDP on Mastering the Art of Selling

A Management Development Program (MDP) on Mastering the Art of Selling was organized on October 15 & 16, 2020, for the corporate executives. Dr R Sugant, Chairman – Career Services and Professor – Marketing, SDMIMD, was the resource person for the Online MDP. 

Webinar on Adapting to New Normal

Ms. Preethy Unnikrishnan, Head, Human Resources – Strategic Growth Business, Tata Consultancy Services, delivered talk on “Adapting to new normal” to PGDM & PGCM Students of 2020 Batch on October 10, 2020. She elaborated the challenges TCS faced in onboarding 40,000 employees virtually and how TCS successfully overcame the challenge by using technology and human-centric approach. The speaker discussed about the challenges in transitioning 3 lakh+ workforce to work from home and ensuring the employees stay safe and motivated. The way TCS went about adapting “Secure Borderless Workspace” by ensuring employee safety and data security is a lesson on how to convert the crisis into opportunity. 

MDP on Statistical Methods for Machine Learning

A 2-Day MDP on “Statistical Methods for Machine Learning” was organized on October 8 & 9, 2020. Dr Srilakshminarayana G., Faculty-Quantitative Methods, SDMIMD, was the resource person for the online MDP. The program has provided a Hand’s-on experience to the participants on the application of the statistical methods used in Machine Learning. Case studies and relevant data sets were used to discuss the key Issues associated with each of the methods. On the first day, application of linear regression and logistic regression were discussed and on the second day, application of classification trees and regression trees were discussed. The program was concluded with discussion on discriminant analysis and cluster analysis.