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Contact Amit G.

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Hire Dr. Amit G.

India

Founder & Chief Scientist at ORMAE with Guinness World Record in Mathematics

Profile Summary

After completing PhD in Operations Research from Case Western Reserve University, Dr. Amit Garg worked for more than 9 years in USA helping companies on innovative Operations research problems developing new algorithms, writing MIP models and helping clients in all kind of industries including truck routing, supply chain, automotive, ITeS and financial industry. He has also closely interacted with major US businesses and seen what kind of products are needed by these businesses. He is the former Operations Research Expert in USA at Amazon, Penske Logistics and Interactive Intelligence.
He is Guinness world record holder in Mathematics and India’s representative in global mental calculation championships.  His name appeared in more than 15 newspaper articles for these achievements. Please refer  http://en.wikipedia.org/wiki/Amit_Garg in this regard. He has completed following projects which are mentioned below:

1.Frequency, Routing and Mode Estimation:  Developed frequency routing and mode determination package along with minimizing inventory cost. This software package reduces the cost based on shipment frequency, routing and mode selection simultaneously. It selects frequency and appointment time in a way that suppliers supplying automotive (and other) clients have smooth operations within supply chain. This package went through many enhancements to give fully operational solutions and expected to reduce cost by $5 million/year.

2. Customized pallet optimizer for food client:  Developed and deployed the Pallet Optimizer tool by developing innovative heuristic algorithms for company’s customer. This tool decides how to load different types of food product in the pallet meeting complex stacking constraints and minimizing number of pallets. This has the potential to provide cost savings exceeding $6 million/year after full implementation. Implemented Pallet Optimizer for company’s customer, fixing data issues. Developed VBA in Excel based batch file tester for testing before any implementation after enhancements.

3.Carrier Bid Optimizer Model: This decides which carrier bids to be accepted to minimize total transportation costs. It follows limits on number of carriers, multiple lane discounts etc.

4. Resource Scheduling algorithm: This algorithm takes individual route with starting and ending time as input. It needs to identify number of trucks, drivers, trailers to optimize total cost. Multiple MIPs were written to solve this complex problem using gurobi in stages to solve large problems and getting close to optimal results.

5.Automatic Route Engine testing system:  It statistically generates random problems for which routing engine of employer was tested under different permutations. It maintains statistics of time taken, failure, … indicating pattern in response of different routing algorithms.

6. Assigning team of managers and engineers to multi phase project with phase level deadline optimizing profit:  A mathematical MIP model using cplex was written for assigning team of managers and engineers to projects with multiple phases with project and phase level deadline constraints optimizing hiring and overtime cost. Problem was solved using multiple MIP models as the single MIP was too large for CPLEX.

7.Balancing service level achievement across contact types in multi-skill, multi-media environment:  Wrote combination of MIP models and heuristic algorithm to balance service level achievement in ITes industry across contact types in multi-skill, multi-media environment. Multiple skills refer to service, sales, marketing, … skills. Multi-media refers to call, chat, email, outbound etc. Patent “Method and System for Prediction of Contact Allocation, Staff Time Distribution, and Service Performance Metrics in a Multi-Skilled Contact Center Operation Environment” was filed in September 2014.

8.Innovative algorithm for strategic workforce planning for back office work: Oscillations in workforce requirement with the objective of meeting service level goal were addressed by this algorithm. Developed a prototype and final model in C# using advanced customized dynamic backlog control algorithm. Algorithm found optimal solution in an environment with multiple local optima.

9. Data Analytics:  Identifying box consumption pattern and establishing replenishment policy. Analyzing line haul rate chart and fulfillment center inventory data to study European market’s demand. Impact of changing cutoff time from fulfillment center was also analyzed in German supply chain network.

10. Locker Locations:  Worked on project of identifying optimal locker locations in UK, impact of number of locker locations on cost, minimizing multiple delivery attempts by driver etc.

He also received US Patent which is mentioned in detail as follows:

Patent Title : Method and System for Prediction of Contact Allocation, Staff Time Distribution, and Service Performance Metrics in a Multi-Skilled Contact Center Operation Environment
United States

Inventors: Dr Amit Garg, Bayu Wicaksono, Wei Xun Ter

Description: A method and system for prediction in a telecommunications network are described. Particularly, contact allocation, staff time distribution, and other performance metrics may be determined in a contact center operation environment comprising multiple media types and/or multiple agent skill sets for handling contact types. In an embodiment, models simulating queue behavior are built. Staff count may be altered in order to determine staffing allocations and performance scenarios using the models. Long term and short term predictions may be used to configure the telecommunication network and route communications through the telecommunications network.

Please check his testimonials at www.ormae.com and at https://www.linkedin.com/in/amitgarg78

Subject Matter Expertise

Services

Research
Consulting
Data & AI
Product Development

Research Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Algorithm Design-ML, Data Visualization, Text Mining & Analytics

Work Experience

Founder and Chief Scientist,ORMAE, Bangalore

Operations Research, Machine Learning & Analytics Experts LLP (ORMAE)

June 2016 - Present

Chief Scientist

Solverminds Solutions And Technologies Pvt Ltd

June 2016 - Present

Founder & Chief Scientist

Operations Research, Machine Learning & Analytics Experts LLP (ORMAE)

June 2016 - Present

Founder & Chief Scientist

Operations Research, Machine Learning & Analytics Experts LLP (ORMAE) ,Bangalore

June 2016 - Present

Founder & Chief Scientist

Operations Research, Machine Learning & Analytics Experts LLP (ORMAE) ,Bangalore,

June 2016 - Present

Chief Scientist

Solverminds Solutions And Technologies Pvt Ltd,Chennai,

June 2016 - Present

Research Scientist II, Seattle, WA

Amazon

August 2015 - June 2016

Senior Operations Research Engineer, Annapolis, MD

Interactive Intelligence

April 2011 - August 2015

Senior R & D Analyst, Highland Heights, OH

Progressive

August 2010 - January 2011

Senior Logistics Engineer, Beachwood, OH

Penske

July 2007 - August 2010

Education

PhD in Operations Research

Case Western Reserve University

June 2004 - July 2007

Certifications

Certification details not provided.