VISHNU CHIRAYATHU VENUGOPAL

ade691@r.postjobfree.com 316-***-****

WORK EXPERIENCE

Graduate Research Assistant

National Institute for Aviation and Research, Wichita, Kansas (June 2018 - Present)

• Analyze and optimize the conditioning process for various composite materials and aircraft components.

• Documentation and development of various new procedures, ensuring conformance with respective quality standards and specifications.

• Perform time-studies and root-cause analysis to analyze bottleneck ensuring streamline workflow.

• Track labor hours, develop cost estimates, applies continuous improvement and lean manufacturing principles and techniques to various processes.

• Works on ECO/DCOs ensuring all stakeholders have bought in to the changes. Engineering Intern (July 2015)

HMT MACHINE TOOLS LIMITED, Kerala, India

• Worked with experienced in-house design team with CAD facility in the design and assembly of Slant Bed Lathes.

• Modified line layouts, including material flow, waste reduction, and ergonomics, utilizing Lean Manufacturing best practices.

• Document and update BOMs for the parts ensuring the product is built right. Engineering Intern

Apollo Tyres, Kerala, India (June 2013)

• Proposed an efficient machinery layout for the latest tyre building machines to be assembled thereby reducing the machining time by 10%.

• Initiated various ergonomic enhancements to improve safety and quality.

• Supported in the development and documentation of operations common to complex tire machines that can be easily redeployed with minimum modifications, despite different machine sections/conditions that result in more complicated sequencing and interlocking. Cognizant Technology Solutions (June 2016-August 2017) Programmer Analyst Trainee

• Part of the team which was responsible for the development and support of web application in

.net using SQL, jQuery, C# and AngularJS

• Assisted in the development of in-house application used to forecast the revenue of company considering various parameters

RELEVANT COURSEWORK

Design of Experiments Production and Inventory Control Systems Systems Simulation Operations Research Probability and Statistics Lean Manufacturing Artificial Intelligence Big Data Analytics Data Mining Machine Learning Design of Experiments PROJECTS

Real-time Job Shop Scheduling

National Institute for Aviation and Research, Wichita, Kansas

• Developed a real-time scheduling model using machine learning (Python) capable of optimally scheduling all the jobs in the entire composite testing facility where jobs can be rescheduled in real time depending on the incoming job orders.

• Improved the overall scheduling efficiency by reducing the makespan by 7%. SKILL SET

• Lean Tools –Kaizen, 5S, Root Cause Analysis, DMAIC, poka-yoke, Kanban, SMED, Value Stream Mapping

• Data analysis using Python & R – Data collection, pre-processing, classification & regression models, data visualization

• Artificial Intelligence – Informed and un-informed search strategies, First-Order Logic, Alpha- Beta pruning

• Machine Learning – Supervised and unsupervised techniques, Bayesian networks

• Forecasting – Time series and causal models

• SIMIO – Simulation modelling and analysis

• MS Excel – Visual Basic, Pivot charts and advanced function

• Database (SQL)- Schemas, tables, queries, views

• Programming Languages – Python, C#, JavaScript (jQuery), R

• Software’s - Design Expert, Statgraphics, Tableau, AutoCAD, SOLIDWORKS, Word, Excel, PowerPoint

EDUCATION

Master of Science in Industrial, Systems and Manufacturing Engineering (2018-2020) Wichita State University, Kansas

CGPA: 3.85/4

Bachelor of Science in Mechanical Engineering (2012-2016) Amrita Vishwa Vidyapeetham, Kerala, India

CGPA: 3.6/4

COURSE PROJECTS

Data Mining and Analytics: Home Insurance Prices

Wichita State University, Wichita, Kansas

• Data analysis on a Home Insurance Dataset from Kaggle was performed using Python

• Preprocessing of raw data was implemented

• Linear regression is used to build the annual insurance premium estimation model Machine Learning: Sentiment Analysis on Movie Reviews Wichita State University, Wichita, Kansas

• Classified the sentiment of movie reviews (in sentences) from Rotten Tomatoes dataset at Kaggle

• Supervised and unsupervised learning techniques were used for the classification in Python.

• Classification accuracy was used as a performance measure Formula Hybrid Race Car (May 2016)

• Part of the team which represented Amrita Vishwa Vidyapeetham in Formula Hybrid Competition at New Hampshire, US and won third prize in Hybrid In Progress Category.

• Associated with the design and engineering of Parallel Hybrid power train in a formula style hybrid race car.

CERTIFICATIONS

Data Engineering, Big Data, and Machine Learning on Google Cloud Platform (Coursera) MEMBERSHIPS

APICS SAE

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