If you’re a company poised for fast-track growth, ISME’s consulting practice can ensure you’re fueled up for the race. Our consultants come from top colleges, such as CMU, IIM Bangalore, Virginia Tech, IIT Bombay, IIT Delhi, IIT Kharagpur, IIT Dhanbad, etc. They carry with them decades of industry and consulting experience with firms such as Deloitte, Accenture Strategy, Mu Sigma, Fidelity, Thomas Cook, Bank of America and HDFC.
Our expertise lies in leveraging data analytics to deliver tangible cost savings across the supply chain. Our consultants have successfully helped companies leverage data for effective decision making in the areas of supply chain, marketing and finance. The implementation has in some cases delivered a 5-10% reduction in their costs.
We have expertise in leveraging data analytics across the supply chain.
We have advanced analytics capability across the value chain.
Very exciting information and great delivery of the content and patient understanding and interaction with us. However, time spent on context setting was very long. .Outstanding value addition. Thanks to Mr Rajendra Desai patiently covered the session and allowed us to learn a powerful tool in a step by step manner.
Inspiring thought process which will strive me to be an excellent leader who work with team spirit maintaining fun at work.
Practical examples from experience of faculty is interesting and gainful.
Client – Asset Planning Services
Development and implementation of an API for the simulation model for the client’s financial services. Developed its analytical model, assisted in testing and implementation of the API.
Client – Krismar
Inventory optimization for a large marble client:
Phase 1: Creation of a prescriptive analytics model to improve the inventory turns ration
Phase 2: Develop a demand forecasting model based on internal and external data
Client – Paradgem
Pricing model development, forecasting and optimization for a large shipping container client
– Development of the pricing model and dashboard for increased management visibilty
– Development of a dynamic model for management decision making
– Development of a stochastic and prescriptive model for price realization forecasting
Rajendra Desai is a certified consultant with M/s Frontline Systems Inc, USA a leader in providing Predictive and Prescriptive Analytics solutions for Industry. He has successfully executed consulting projects for diverse industries helping them improve their operations through analytics solutions. He has a Masters in Operations Research from Virginia Tech, USA and a Bachelors in Chemical Engineering from IIT Delhi.
Dr. Shampa Nandi has PhD in Marketing from ISM (IIT, Dhanbad). MBA (Marketing & Finance), MSc. (Math), PGP Data Science & Business Analytics (UT Austin & Great Lakes). She has published more than dozen papers in International and National Journals. She won several prizes for case writing and for research papers. Her current project is on creating a Prescriptive Analytics Model using Stochastic Optimization.
Stuti Agarwal is an accomplished Data Scientist with over 8 years of experience with firms such as Mu Sigma and Fidelity. She has a Master’s in Statistics from the University of Kolkata. She has worked on high impact Data Science projects like Customer Life Time Value, Customer Churn, Clickstream Analysis, Time to Churn, Customer Segmentation, cross-sell/upsell models, lift models, propensity models. Her last project was on logistics planning model for a cement firm. She is currently working on Optimization of Taxing Time for an Airport.
Vikku Agrawal has over 20 years of experience of which 12 years were in the banking and finance industry. Ms. Agrawal started her career at Thomas Cook and Bank of America subsequently serving as Assistant Vice President, HDFC bank. Having dealt with the liability of confidential financial data of clients all through, she has a flair for operational efficiency and due diligence besides value enhancement. She has examined data for best customer outcome taking into account the risk return trade-off.