RAJESH KUMAR SUGUMAR

*** ***** *** *****, *********, Texas 76013 C: +1-682-***-**** actepu@r.postjobfree.com Linkedin OBJECTIVE:

Competent and result oriented professional with engineering work experience in a high-tech manufacturing environment. EDUCATION:

University of Texas at Arlington, Texas, USA CGPA: 3.75 Master of Science, Industrial Engineering Expected May 2016 Anna University, Chennai, INDIA

Bachelor of Engineering, Mechanical Engineering Graduated May 2012 RESEARCH EXPERIENCE:

Center on Stochastics Modeling, Optimization, & Statistics, the University of Texas at Arlington, TX, USA. Graduate Researcher August 2015 – Present

Data Mining, Modeling, and Decision Making (DMD) from Real-world behavioral data, provide novel analytic insights in relation to the client’s business domain and needs, algorithm implementation, etc.

Explore advanced analytics such as Data Mining/Machine Learning, Neural Networks, Hierarchical Bayes, etc. The University of Texas at Arlington Research Institute (UTARI), Dallas-Fort Worth, TX, USA. Research Assistant February 2015 – December 2015

Data collection from Vibration, RF Signals, temperature, pressure, and voltage sensors using NI LabView

Managed data from various sources poses challenge to Data analysis, Integration, and Reporting WORK EXPERIENCE:

The University of Texas at Arlington, TX, USA

Graduate Teaching Assistant, IE5301 Advanced Operations Research Jan 2016 – Present

Assisting Graduate students to develop modeling skills and an ability to apply quantitative optimization to the decision- making process.

TE Connectivity, Harrisburg, PA, USA

Intern, Digital Factory Industrial Engineering May 2015 – Aug 2015

Manufacturing Data Analytics & Visualization of factory floor data, aggregation and visualization through sensors, controllers, robotics and machine/tool connectivity that drives process optimization

Measured and controlled OEE (Overall Equipment Efficiency) Losses

Modelled mathematically the parameters related to these losses and gave direction for adaptive control using Artificial Neural Networks

Renault Nissan Technology and Business Center India Pvt. Limited, Chennai, INDIA Research Engineer, Computer Aided Engineering July 2012 – July 2014

Responsible for crashworthiness development of advanced vehicle structure concepts for vehicle programs

Suggested sound and timely technical solutions to meet vehicle crashworthiness performance targets

Implemented feasible vehicle design recommendations and work with engineering functions, program teams, suppliers, manufacturing and others

Conducted optimization studies by utilizing optimization CAE tools, including DOE/DFSS techniques to optimize vehicle designs to meet performance requirements while minimizing mass and cost MRF Tyres Pvt. Limited

Intern, Manufacturing Engineer January 2012 – April 2012

Process improvement of tyre curing process by using nitrogen in case of Hot water/Steam, defective tyres were reduced by 65%, reduced cycle time and higher production rates, Lowering operating and maintenance cost. TECHNICAL SKILLS:

Statistical & Data Analysis Tools: Tableau, R, SAS, MiniTab, MatLab, MySQl, Clodera Hadoop, and Weka Design and FEM Analysis Tools: AutoCAD, Pro-E, Solidworks, Catia, Ansys, Ansa, Hypermesh, Visual Crash Pam Applications & Languages: MS Office, Visio, C++, Python, Visual Basics

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