**, ********* ******

Binghamton, NY, *****

SUJAY RAVI

https://www.linkedin.com/in/sujay-ravi-2b1505182

607-***-****

add8ni@r.postjobfree.com

SUMMARY

• 1+ years of part-time experience in Food Service Industry with a role focused to customer oriented.

• Domain Knowledge in Demand Forecasting, Inventory Management, Probability & Statistics, Operations Research, Multivariate data analysis and Project Management.

• Exemplar Global certified Lean Six Sigma Green Belt. EDUCATION

• M.S in Industrial and System Engineering, State University of New York (SUNY) at Binghamton Dec 2019

• B.E in Mechanical Engineering, Panimalar Institute of Technology, India April 2015 SKILLS

• Python, SQL, SAS, SPSS, Tableau, Advanced Excel

EMPLOYMENT

Research Volunteer Binghamton University April 2020 - Present Heart Disease Prediction model

• Developed machine learning models with classification algorithms and proposed stacking with Logistic regression resulted in accuracy 85.48%, sensitivity 90% and reduced patient’s medical attributes. Python Student worker Sodexo Aug 2018 – Dec 2019

• Engaged with customers providing big picture of customized services available and solved customer queries.

• Maintained optimum inventory level at food stations and reported additional demand to Manager.

• Effectively managed distribution team of uniforms for 500+ employees across 4 dining services in 5 days.

• Multi-tasked different functions at different food stations during busy hours smoothly. Project Renault Nissan Automotive India Pvt Ltd Feb 2015 – March 2015 Automation of Testing M/c

• Automated rear oil seal leak testing machine for Duster car engines by applying pneumatics concept resulted in labor elimination and production efficiency by 11.89%.

• Collaborated with cross-functional engineering team for planning and implementation of project.

• Identified and presented key assembly line issues to production team for performance improvement. TECHNICAL EXPERIENCE

Projects

• Forecasting sales of e-commerce company worldwide: Developed interactive dashboard and conducted comparative study of statistical methods ARIMA, Exponential Smoothing and Regression. Excel, Python

• Wolf Morphometric Data Analysis: Validated significant difference between mean vectors of rocky mountain wolves and artic wolves with respect to location and gender using MANOVA. Classified subspecies-based location with Discriminant analysis resulted in accuracy of 100%. SPSS

• Analysis of business trend for Yelp data: Developed SQ-Lite code and identified increasing business trend from 2010 to 2017 and restaurant is at Las Vegas performed well during evening than in morning. SQL

• Golf-Sport - Managing Operations: Optimized production of golf parts and sets for 2 months with Linear programming resulted in maximum profit of $280,536. Recommended in additional labor hours, packing hours and assembly hours at 3 plants would increase profit by $5/unit, $2/unit, and $2.91/unit. AMPL AWARDS

• Industrial Engineering Honor Society: Certified active member by Alpha Pi Mu

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