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Industrial Engineer Engineering

Detroit, Michigan, United States
October 27, 2016

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Detroit MI *****

Nilanjan Joshi



Self-motivated, innovative and results-oriented Industrial Engineer with around 4 years of experience in automotive, heavy engineering and healthcare industry

Exhibited abilities in strong leadership, decision-making, problem-solving, effective communication, team building

SKILLS: Operations Research, Lean Manufacturing, Six Sigma, Process Planning, Plant Layout, System Engineering, Productivity Improvement, Kanban, Kaizen, 5S, PFMEA, DFSS, SPC, PLM, PDM, Data Analysis, Data Mining, Machine Learning

COMPUTER SKILLS: Minitab, MS Excel, PowerPoint, Tableau, AutoCAD, Visio, R, SQL, ERP, UML, C#, ASP.NET, MS Access


Graduate Research Assistant

CInDI Lab, Wayne State University

January 2015 – August 2016

Project: Random Forest-based Rule Extraction for Reusable Medical Equipment Cost Prediction (Master’s Thesis)

Performed data mining on historical data of repair, work order, and inventory of medical devices.

Built a Random Forest Regression model of prediction & extracted decision rules to generate knowledge.

Developed a web-based system to incorporate learned knowledge for cost forecasting based on product performance index

Assisted in strategic decision-making in Inventory Management, Reliability Estimation, Predictive Maintenance & Cost Control

Industrial Engineer

Ridhisidhi Techno Solutions, Pvt. Ltd, India

July 2012-January 2014

Process Re-engineering & Productivity Improvement:

Conducted MOST, Time Study & SPC to diagnose & troubleshoot process gaps and bottlenecks and modified SOPs

Suggested and implemented process automation, jigs & fixtures, ‘5S’ and poka-yoke, SQDCME improvements

Achieved 50% reduction in overtime shift and improved production quality for automobile solenoid assembly

Streamlined Kanban system by updating BOMs & engineering changes and implemented in ERP.

New Product Development and Launch Activities:

Analyzed and designed assembly processes, plant layout & tool requirements using PFMEA, control plans & process flow

Led a cross-functional team to coordinate audits for Supplier Quality, APQP & PPAP for Siemens, Mann-Hummel etc.

Reduced 15.5% procurement cost by developing in-house manufacturing plant having CNC lathe, plastic molding machines

Achieved zero defect quality of production using six sigma principles, 5WHY, 8D, 7QC tools ISO 9001 & TS 16949 standards

Industrial Engineer, Intern

L&T, India

July 2011 – April 2012

Facilities Planning & Layout Design:

Designed plant layout and process flows using AutoCAD, considering Lean and material handling concepts.

Streamlined process flows within fabrication, assembly, and paint shops consisting of 8 different processes.

Cycle-time Reduction through Continuous Improvement:

Achieved 92% reduction in crane usage time through KAIZEN activities of process flow optimization.

Manpower Planning & Line Balancing:

Optimized assembly sequencing and material routes using CPM, PERT, Gantt Chart to achieve target cycle time & demand.

Developed a KPI mapping system to identify skill set requirements and workforce planning for rocket launcher assembly.


M.S. Industrial Engineering

Wayne State University

Aug 2014 – Aug 2016, GPA 4/4

B.E. Industrial Engineering

University of Pune

July 2008 – May 2012, GPA 7/10

Academic Projects

Business analysis of crowdsourcing service for researchers Jan 2016 – May 2016

Developed a crowdsourcing service through PCA factor analysis, knowledge based design

Idea generation to disposal study of a refrigerator system Aug 2015 – Dec 2015

Application of System V: Requirement engineering, concept development, verification, validation, operation, and disposal.

Design for Six Sigma for product development Jan 2015 – May 2015

Study and apply TRIZ 40 Inventive Principals & Taguchi

Crime incident reduction around university campus Aug 2014 – Dec 2014

Reduced emergency response time by 10% using linear and integer programming methods


K.-Y. Kim, N. Joshi, and J. Park, “Outlier Detection with Repair History Data for Medical Equipment Analysis” ISERC 2016, Anaheim, CA, May 21 – May 24, 2016. (Conference Presentation)

K.-Y. Kim, N. Joshi, and J. Park, “Decision Rule Extraction for Life-cycle Cost Analysis of Reusable Medical Equipment” For IIE Transactions on Healthcare System Engineering (Journal Publication in Preparation)

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