RAGHAV GOYAL Address: 701 Southgate Dr., State College, PA 16801 | Cell: +1-814-321-5645 | Email: rzg164@psu.edu |

www.linkedin.com/in/goyalraghav

Objective:

To pursue a career in Industrial Engineering, where my strong analytical and problem solving skills can be

enhanced and used to contribute to the industry in best of my abilities.

Education Details:

M.S. Industrial Engineering and Operations Research (Aug 2014 - May 2016) Pennsylvania State University- University Park CGPA: 3.84/4.0

B. Tech. Mechanical Engineering (Aug 2010 – May 2014) SRM University – Delhi Campus, India CGPA: 3.80/4.0

Relevant Coursework:

Operations Research, Supply Chain Engineering, Discrete Event Simulation, Data Mining, Supply Chain

Optimization, Stochastic Processes, Applied Decision Analyses, Statistics, Linear Algebra, Calculus.

Professional Skills:

Optimization Software: GAMS, LINDO, LINGO, Excel Solver.

Simulation software: Arena, SIMIO.

Data analysis software: Minitab, Weka, R.

Programming languages and custom software: SQL, C#, MS Office Suite.

Internships:

Cummins Power Generation, Fridley, MN (June 2015 - Aug 2015)

Deciphered patterns in the Power Generation Business Unit order intake, that can be used to better predict intake trends and come up with "rules of thumb" for each segment and region.

Cleansed and categorized PGBU order intake as "Abnormal" & "Normal" using statistical rules based upon various parameters. Calculated seasonality indexes for each regions and segments based upon the "Normal" trend.

JK Cement Ltd., Nimbahera, India (May 2013 - Aug 2013)

Worked on various industrial scale machines and calculated their performance factors using statistical tools.

Ashok Leyland, Alwar, India (Nov 2012 - Dec 2012)

Analyzed the tool repair data from past break down maintenance reports by noting the occurrence and frequency of breakdown and plotting the required charts to provide better insight for inventory management.

Academic Projects:

Predicting Television Rerun Viewership for Sports, Penn State - University (Feb 2015 May 2015)

Created a regression model to predict the re-telecast viewership of a sporting event by considering a number of predictor variables including sentiment analysis of Tweets, tweeted during the live game.

Transportation Capacity Analysis for a Theme Park, Penn State University (Feb 2015 - May 2015)

Used SIMIO to design the transportation system for an amusement complex, to minimize the cost of operations, and to minimize average wait time of customers.

Forecast sales using Data Mining and Regression, Penn State University (Aug 2014 - Dec 2014)

Applied Data Mining and Regression techniques to historical Walmart sales data to find the relation between sales and external factors such as seasonal holidays, functionality and location of the store.

Designed algorithm to optimize a supply chain network, Penn State University (Sept 2014 - Nov 2014)

Optimized the cost of ordering for a supply chain with multiple suppliers by considering it as a Multi-Criteria decision making problem with conflicting criteria such as cost, lead-time and quality.

Staffing problem at Supermarket using Arena, SRM University (Nov 2013 – May 2014)

Used ARENA to formulate the staffing problem at a super store, as a discrete-event based simulation model, to determine the most economical staff assignment with reasonable customer waiting time.

Publications:

Research paper on "Optimal Staffing Model For Supermarket; Case Study on A Hypothetical Supermarket" got selected in The International Conference on Advances in Mechanical and Automation Engineering, (MAE 2014).

Leadership Experience:

Treasurer at INFORMS Penn State Chapter.

Student Council Member of Department of Mechanical Engineering at SRM University.

Secretary of Annual Technical Fest of SRM University "Innovate'12."

Head of SRM University Debate team.