Dr Amit Garg
Founder & CEO @ ORMAE (Operations Research Machine learning & Analytics Experts)
About
Here I connect with business leaders, clients, collaborators, Senior Operations Research & Data Scientists who might help us increase our business outreach or raise talent bar. For Career opportunities/Campuses/Recruiters, email:- hr@ormae.com or connect to HR head https://www.linkedin.com/in/pradeepgopalan/. You can certainly follow ORMAE LinkedIn page. My Profile: • Chief Scientist and Accomplished Engineer with Ph. D. in Operations Research from USA, B.Tech. and M.S. from IIT. • Possess more than 15 years of industrial experience at Amazon, Genesys, Progressive Insurance, Penske, ORMAE on 100+ Optimization & Data Science Projects and 7 years research and teaching experience • Guinness world record holder in mathematics representing India in many international mental calculation championships. • Appeared in national and international media for these achievements. http://en.wikipedia.org/wiki/Amit_Garg • Industry Domain: Transportation & Hospitality (Trucking, Shipping, Aviation), e-Commerce, Automotive, Retail and Warehousing, Call Center and Telecom, Banking and Insurance, HealthCare and Pharmaceutical • Areas of Expertise: Logistics Optimization, Location Optimization, Inventory Optimization, Manpower Optimization, Network Optimization, Machinery/Equipment Optimization, Demand Forecasting, Pricing Optimization • Operations Research & Analytics Techniques: Mathematical Modeling (NLP, LP, MIP), Constraint Programming, Branch and Bound Algorithm, Heuristic Algorithms, Meta-Heuristics, Forecasting Techniques • Developed optimization application packages in Visual C++, C#(Microsoft Certified), SAS, VBA (Visual Basic for Applications) in Excel, ILOG CPLEX and Gurobi. Data analysis skills using python, advanced Microsoft Excel skills. • Presented, authored and reviewed research papers, hold a patent and a trade secret. • Presented algorithm, business impact & offered training on applied industrial projects at Client Site to Business leaders as well as to company’s employees etc.
India
Bengaluru
Transportation, Logistics, Supply Chain and Storage
Operations Research, SAS, Inventory Management, Supply Chain Management
Experience

advisory board
middlesex university dubai
Advisory Board Member at Middlesex InsightsX Lab, Middlesex University, Dubai https://www.mdx.ac.ae/insightsx-lab#partner

research scholar
case western reserve university
Computational fluid dynamics work on NASA project

senior operations research engineer
interactive intelligence

senior r and d analyst
progressive insurance
* Developed SAS programs and modules to enhance rating of insurance products based on vehicle and business characteristics for commercial vehicles using large databases. * Extracted data from various databases using SAS program/module. Used SQL for analyzing data tables. Performed data quality check in SAS and Excel for insurance database. * Summarized and diagnosed results using Excel pivot table, vlookup, conditional formatting, Excel formulas, programming in vba for excel.

senior logistics engineer
penske logistics

senior data scientist
6th grain
Using data science & supply chain optimization for evolving agriculture monitoring field

teaching assistant
case western reserve university
* Conducted review sessions, problem sessions, grade examinations and homework for more than 150 MBA students, 50 graduate and 50 undergraduate engineering students for the following courses: * ERP in Supply Chain, Operations Management, Statistics and Decision Modeling, Supply Chain Logistics, Graph Theory, Combinatorial Optimization, Decision Theory, Introduction to Linear Programming

chief scientist
solverminds solutions & technologies pvt ltd
SOLVERMINDS has been in the fore front of providing liner resources planning solutions to the liner container shipping industry with cutting edge application solutions that empowers these enterprises to plan, control and optimize asset utilizations while simplifying shipment order processing and improves cost saving through reduced papers usage.The solutions enable our clients to manage their core competencies in shipment order planning, execution and fulfilment, route optimization and planning, equipment management and tracking, yield and contribution management, financial management and reporting including agency and line accounting.

founder and chief scientist at ormae with guinness world record in mathematics
ormae (operations research machine learning & analytics experts llp)
Founder & Chief Scientist at ORMAE with Guinness World Record in Mathematics at ORMAE (Operations Research Machine learning & Analytics Experts)

research scientist ii
amazon
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. 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. Fresh and Prime Now: Worked on impact of different algorithmic approaches on minimizing total cost of fresh and prime now deliveries.
Education
indian institute of technology, delhi
mechanical engineering
indian institute of technology, delhi
industrial engineering
case western reserve university
Three essays in multipurpose machines scheduling."," * Developed a much faster algorithm for such scheduling problems than any prior published work."," * Developed a scheduling application package in Excel using Visual basic by coupling with Frontline Premium Solver. The whole application was written in excel with a user-friendly interface to switch between worksheets and to run different type of scenarios."," * Identified and implemented many improved lower bounds for the complex scheduling problem."," * Decomposed the scheduling problem into smaller problems by identifying special structures. ."," * Improved CPLEX performance by deriving certain problem-specific constraints for a scheduling application"," * Used SAS to analyze computational time w.r.t. problem specific constraints"]
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