Seasoned Data Scientist, AI, and Innovation Consultant with 18+ years of expertise driving AI and digital transformation in the energy, insurance, and engineering sectors. Experienced in Machine Learning, Natural Language Processing, and advanced Mathematics to develop predictive models and optimize processes.An award-winning innovator and researcher with thought leadership skills, have filed 30 patents at IBM and Schneider Electric. Pransh has a double Master’s in Data Science and Mathematics-Operations Research from the University of Wisconsin and Northeastern University Boston.
46, Meadow North Grafton, MA 01536
pranshu.ti12@gmail.com
(612) 716-3694
linkedin.com/in/pranshu-tiwari-18973a10/
Pranshu Tiwari has 18+ years of expertise as a Data Scientist, AI, and Innovation Consultant driving AI and digital transformation in the energy, insurance, and engineering sectors.. He has MS – Operations Research from Northeastern University-Boston and is a project away from completing his third master’s in data science from University of Wisconsin. He has done MBA from Paris Tech -India and B.E in Electrical Engineering from Madras University. His data science Projects include FOAK Drug Recommendation System, Detect Cancer from CT scans of Brain for academia as well as Text Processing based Supervised Machine Learning. He has leadership experience of 10+ years in field of Consulting & Program Delivery and 4 Granted Patents with 14 Filed Patents in IBM. With Depth and Breadth of deep educational and industrial experience across multiple geographies, he is poised to take challenging opportunities to help companies navigate through various Industrial imperatives of AI/Digital and Cloud. He is avid Tennis player and competes in USTA 4.0 and regional tournaments. He also has interest exploring various Meditation techniques personal and spiritual growth
Tennis
Pranshu is an active tennis player. He has a serve and volley game and has a single handed backhand. He plays singles /doubles twice a week. He competes at USTA, Boston Tennis League. You can refer his latest tennis record on the following link:
B.E. in Electrical Engineering
ENPC-MBA
Master of Science, Mathematics Operations Research
Master of Science, Data science
Data Scientist | IBM Senior Inventor
AI Data Scientist & IBM Master Inventor
Schneider Electric | Principal AI Consultant
Master Inventor/Data Scientist & Managing Consultant
Data Science/AI
Associate Consultant
Client Advisory, Project Management, and Consulting highlights include:
Preparation of RFT Indian Utility.
3 Plateau Award from IBM CEO 2017, 2020
Honored IBM Senior Inventor in 2017
Manager Choice Award 2014, 2017
Treasured Wild Ducks 2016
Shared Expertise 2016
Top Contributor 2015, 2016,2017
Pranshu Tiwari has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
Publication number: 20210241392
Abstract: Methods and systems for metrics for energy saving and response behavior are disclosed. A method includes: receiving, by a computing device, for each of a plurality of energy users, consumption time series data from a smart meter of the energy user; determining, by the computing device, for each of the plurality of energy users, demographic data of the energy user; clustering, by the computing device, the energy users based on the consumption time series data and the demographic data; identifying, by the computing device, a plurality of groups of energy users based upon the clustering; and determining, by the computing device, an energy saving program to associate with each of the plurality of groups.
Type: Application
Filed: February 5, 2020
Publication date: August 5, 2021
Inventors: Pranshu TIWARI, Harish BHARTI, Saurabh TREHAN, Anshul CHETAL
Patent number: 11093229
Abstract: A failure rate model modeling a failure rate of a training functionality deployment in a training set of functionality deployments is constructed. The failure rate model is configured to receive functionality deployment data and output a corresponding failure rate prediction. Using the failure rate model, a set of functionality deployment failure rates is predicted, a functionality deployment failure rate in the set of functionality deployment failure rates corresponding to an upcoming functionality deployment. Using the set of functionality deployment failure rates, a deployment sequence of the set of upcoming functionality deployments is constructed to minimize a predicted overall failure rate of the set of upcoming functionality deployments. The deployment of each functionality deployment in the set of upcoming functionality deployments is caused, the deployment comprising activating the upcoming functionality program code according to the deployment sequence.
Type: Grant
Filed: January 22, 2020
Date of Patent: August 17, 2021
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventors: Pranshu Tiwari, Harish Bharti, Naveen Narayanaswamy, Ram Prasad Reddy Munagala