Sreerag Raghunathan https://www.linkedin.com/in/SreeragR 1718 S. Jentilly Apt. 082, Tempe, AZ 85281 480-***-**** acyoxv@r.postjobfree.com

Summary

Experienced(4+years) Software Systems Engineer with expertise in Business Analytics, System Requirements/Design, Operations Research, Electrical engineering, Programming, and Mathematics. Focused on improvement of business decisions, execution, and profitability through model definition, analytics, and automation. Demonstrated contributions in the roles of software developer and systems engineer.

Education

W. P. Carey School of Business at Arizona State University, Tempe, AZ GPA 3.8/4 May 2017

Master of Science in Business Analytics (MSBA)

Indian Institute of Technology, Roorkee, IND CGPA 7.8/10 June 2011

Master of Technology in Electrical Engineering (Power electronics and electrical drives)

Government College of Engineering Kannur, Kerala, IND 70% June 2005

Bachelor of Technology in Electrical Engineering

Professional Qualifications

Machine Learning (Pattern recognition, Data mining, text mining)

Statistical Modeling

Predictive Analytics

Enterprise Data Modeling

Optimization Techniques

Algorithm Design

Data Visualization

Software: Python, SAS,Palisades Decision Suite, R,

MySQL, Tableau, C++, VB.net.

Manufacturing (DOE, process control)

Electrical Engineering (Power Electronics)

Professional Experience

Test Development Engineer

September 2013 – February 2016

Finisar Corp., Perak, Malaysia

Developed a new software in VB.net to test “30-up tester” and successfully implemented it in production. It reduced the operator count ratio from 30 to 1, improved test time from 45 secs per unit to 35 msecs per 30 units. All these translated to considerable dollar savings.

Performed extensive data analysis, characterization, and optimization of an in-house developed “optical attenuator” against market standards. Also, developed a testing methodology for evaluating quality of the former. Entire process was documented and uploaded in Agile.

Test Engineer

July 2011 – September 2013

Finisar Corp., Perak, Malaysia

Awarded special MD bonus for stellar achievements in process yield and product quality improvements within 6 months of joining the company.

Improved variability and yield of “4 pin FP and DFB lasers” from 92.5% to 99.4% through conducting DOE’s (design of experiments) and SPC (Statistical process control) checks.

Managed 10 operators indirectly and 2 technicians directly for carrying out daily production activities such as product testing, SPC checks, equipment set up and test plan changes.

Academic Projects

Created predictive models for classification and regression using machine learning algorithms like boosted decision tree, decision forest, decision jungle, multilayer neural networks, Bayes decision rule, SVM, logistic regression, K-NN, K-means/medoids, DBSCAN etc. on several imbalanced Kaggle datasets to predict targets like churn, fraud, crime etc.

A case study to ascertain the effect of Vioxx drug on heart conditions with statistical significance (99%) and, to analyze and predict the customer perspective and losses incurred if Vioxx is recalled.

Data visualization using Tableau on NASA’s star system dataset that shows different clusters of star, their orbits, Velocity etc. and, also possible red-giants, pulsars or supernova based on their masses and radius.

Designed and conducted a 2^4 factorial experimental test with center points and used ANOVA charts to find the best conditions of yeast fermentation rate for industrial needs.

Contact this candidate