Engineering Data Analyst

Navinkumar Krishnan

Tempe, Arizona-***** *****.********@***.*** +1-480-***-**** www.linkedin.com/in/nk-krishnan EDUCATION

* Master of Science in Industrial Engineering GPA: 3.8/4.0 May 2018 Arizona State University, Tempe, USA

Relevant Courses: Design of Engineering Experiments, Regression Analysis, Computational Statistics, Information Systems Engineering, Data Science for Machine Learning

* Bachelor of Engineering in Mechanical Engineering GPA: 3.5/4.0 June 2016 Anna University, Chennai, India,

Relevant Courses: Production Planning and Control, Total Quality Management, Process Planning and Cost Estimation TECHNICAL PROFICIENCY

* Programming Languages: R, Python, C, Apache Spark, Hadoop

* Statistical and Data Management: MySQL, Git, Tableau, JMP, Minitab, MS Office, Airtable, Visual Basic

* Engineering Design and Development: AUTOCAD, Creo, NX CAD, ANSYS, Matlab, Simulink

* Operating Systems: Microsoft Windows, Mac OS X

PROFESSIONAL EXPERIENCE

* Data Analyst Intern, Integral Coach Factory, India June 2015 - July 2015

- Collaborated closely with the manufacturing and sales teams to gather data and build reliable cost models for production of the new and upgraded ‘Antyodaya’ coach.

- Used predictive analytic techniques and machine learning algorithms such as k-means clustering to categorize products into clusters to simplify the process and build fewer generic cost models.

*Communications Aide, Arizona State University Jan 2017 – May 2018

- Managed all incoming front-end communications and the mailing department.

- Responsible for managing social media networks and creating weekly newsletters.

- Processed and edited over 200 videos for YouTube to increase average views by over 60%.

- Managed financial paperwork and organized outreach programmes and weekly seminars for over 100 people.

* In-Plant trainee at TVS Motor Corp, India

* Captained the student formula SAE team to the podium at SSN College of Engineering

* Volunteered as a 'Health Activist' at the National Service Scheme and Rotary Club of Pondicherry, India. RESEARCH EXPERIENCE

*Image Classification with Big Data using Neural Networks:

- A convolution neural network with 15 layers was built using keras and tensorflow to train and classify over 80,000 images after pre-processing by deskewing, blurring and removing noise.

- Several machine learning algorithms KNN, Support Vector Machines, Decision trees were implemented and compared with extensive cross validation to end up with a final testing accuracy of over 98%.

*Search Engine for Wikipedia using Apache Spark:

- A working search engine was built for Wikipedia using the bag of words model and TF-IDF concept.

- The mllib library in spark was used to successfully return the top document hits for the specified word or phrase.

*Information Management System for a food corporation:

- A secure database management system was designed using relational databeases from scratch in MySQL for a fast food chain by building, transforming, and normalizing EER diagrams.

- A GUI was designed with Visual Basic (VBA) for hassle free user experience with complex built in SQL commands for managing and tracking shipments and inventory, placing orders, evaluating employees, managing transactions and generating visual sales reports.

*Full Factorial Experimental Design for Analysis of Factors Affecting Cycling Effort:

- The major adjustable factors that dominate cycling effort were identified and a 2K factorial experiment was designed and conducted to study factor effects and optimize the levels.

- A multivariate regression model was built on the significant factors and analytic tools like cube plots were used to determine the actual optimal levels for each factor.

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