Supply Chain Optimization & Data Analytics Professional
Greater Boston Area
Data Science Senior Analyst @ OPS Rules, Part of Accenture Analytics From January 2016 to May 2017 (1 year 5 months) Data Science Manager @ Accenture AI Greater Boston AreaQRM Student Consultant @ Trek Bicycle Corporation Worked on increasing throughput for Trek's P1 Select Bikes by creating QRM Cells and analyzing various production strategies. From September 2014...
Data Science Senior Analyst @ OPS Rules, Part of Accenture Analytics From January 2016 to May 2017 (1 year 5 months) Data Science Manager @ Accenture AI Greater Boston AreaQRM Student Consultant @ Trek Bicycle Corporation Worked on increasing throughput for Trek's P1 Select Bikes by creating QRM Cells and analyzing various production strategies. From September 2014 to December 2014 (4 months) Madison, Wisconsin AreaStudent Director, Marketing @ CEG TECH FORUM Brand development, website traffic growth, brand familiarization in industry. From January 2009 to February 2010 (1 year 2 months) Data Science Consultant @ Accenture AI Core Project Areas: Supply Chain Segmentation & Strategy, Advanced Demand Forecasting, Network & Inventory Optimization & Custom OptimizationIndustries: Retail, Commercial Products, Medical Devices & Life Sciences Tools: R, Python, Amazon Redshift, SQL, Tableau, Opalytics, Microsoft Office From June 2017 to May 2019 (2 years) Supply Chain Analyst @ OPS Rules, Part of Accenture Analytics OPS Rules is the leading analytics and optimization firm focused on helping companies identify and capture hidden opportunities in their supply chains and operating models. We bring fresh intellectual property to clients based on the work of Professor David Simchi-Levi from MIT. Representative Experience:1. Network Optimization: Helped a plumbing manufacturer design their network for future growth by identifying potential locations for new DCs, optimizing product flow and evaluating capacity expansion at current DCs2. Supply Chain Strategy: Performed product segmentation using machine learning techniques and defined tailored stocking strategies for a Fortune 500 company and reduced stock-outs by 85% From February 2015 to December 2015 (11 months) Greater Boston AreaSupply Chain Operations Intern @ Cummins Inc. • Member of the inbound operations group, working closely with Quality, Inventory Management and 3PL KM Logistics' team• Developed a scheduling algorithm for the picking and packaging operations, which reduced lead time by 41%• Championed a lean improvement project in the major components packaging area, which improved productivity by 30%• Monitored daily operations and inventory shrink issues by using RedPrairie (WMS) and worked on solutions to reduce inventory shrink From June 2014 to August 2014 (3 months) Greater Memphis AreaSupply Chain Optimization Consultant @ Hy-Vee • Assisted Hy-Vee in developing its distribution network expansion strategy for serving Hy-Vee stores in the East region• Modeled the supply chain network using an optimization software and developed a total cost model (includes transportation and logistics, cross-docking, labor and operation cost) to determine the supply chain cost• Recommended Hy-Vee to build a high velocity distribution center (payback period of 5.6 years) From January 2014 to June 2014 (6 months) Madison, Wisconsin AreaSupply Chain Consultant @ John Deere • Performed analysis on demand and inventory data to determine new safety stock levels for raw materials, thus reducing inventory by 44%• Proposed innovative racking methods to improve space utilization by 30% at the facility• Recommended John Deere to stop leasing CCDC – East facility, which resulted in cost savings of $1,200,000 From January 2014 to May 2014 (5 months) Janesville/Beloit, Wisconsin AreaAssociate Engineer - Simulation @ Caterpillar Inc. • Lead engineer in cost reduction projects for the CAT C13 engine, notably the damper cost reduction project in the 349 Hydraulic Excavator application• Analyzed simulation data and recommended a new gear train for C13 Tier 4 – Final engines, thus avoiding potential warranty costs for the organization• Established design limits for C13 engines by performing statistical correlation between the test data and simulation results• Contributed to the research and development of Caterpillar concept gas engine as an engine vibration analyst in a cross-functional team across the globe• Championed process improvement projects in the engine dynamics team and worked on an organizational level Six Sigma project, which resulted in a direct cost savings of $120,000 for the company From September 2010 to June 2013 (2 years 10 months) Chennai Area, India
OPS Rules, Part of Accenture Analytics
Data Science Senior Analyst
January 2016 to May 2017
Accenture AI
Data Science Manager
Greater Boston Area
Trek Bicycle Corporation
QRM Student Consultant
September 2014 to December 2014
Madison, Wisconsin Area
CEG TECH FORUM
Student Director, Marketing
January 2009 to February 2010
Accenture AI
Data Science Consultant
June 2017 to May 2019
OPS Rules, Part of Accenture Analytics
Supply Chain Analyst
February 2015 to December 2015
Greater Boston Area
Cummins Inc.
Supply Chain Operations Intern
June 2014 to August 2014
Greater Memphis Area
Hy-Vee
Supply Chain Optimization Consultant
January 2014 to June 2014
Madison, Wisconsin Area
John Deere
Supply Chain Consultant
January 2014 to May 2014
Janesville/Beloit, Wisconsin Area
Caterpillar Inc.
Associate Engineer - Simulation
September 2010 to June 2013
Chennai Area, India
What company does Dinesh Natarajan work for?
Dinesh Natarajan works for OPS Rules, Part of Accenture Analytics
What is Dinesh Natarajan's role at OPS Rules, Part of Accenture Analytics?
Dinesh Natarajan is Data Science Senior Analyst
What industry does Dinesh Natarajan work in?
Dinesh Natarajan works in the Logistics and Supply Chain industry.
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