Viresh Duvvuri

Pullman, WA - *****

Email: ac0j3z@r.postjobfree.com, Cell: 509-***-****

LinkedIn profile: https://www.linkedin.com/in/viresh-duvvuri-64684859 Education

• Masters of Science (with Thesis) in Computer Science, Washington State University, Pullman, WA GPA: 3.46 Anticipated Graduation Date: June 2017

• Bachelor of Technology in Information Technology, GITAM University, Vishakhapatnam, India GPA: 3.3 Graduated: April 2015

Relevant Courses

Introduction to Data Science, Artificial Intelligence, Theory of Computation (Algorithmics), Elements of Network Science, Advanced Database Systems, Dynamics and Kinematics of Robotics, Computer Architecture Relevant Professional Experience

Research Assistant- Intelligent Robotics Learning Laboratory October 2015 - Present EECS Department, Washington State University, Pullman-WA. Supervisor: Prof. Matthew Taylor

• Student Flow Analysis and Prediction using Cougar Card (Student ID) Data Developed a Data mining agent prototype in R, that would help students and staff of Washington State University plan their workout routines at Student Recreation Center. Poster for this work was presented at WSU GPSA Research Exposition 2016, Pullman, WA, USA. o Data Sets: Time series data from stuse, having 2 million records between 8/17/2012-8/17/2015 o Languages / Packages: R, R packages- gglplot2, xts, dygraphs, shiny dashboard, timedate, plyr o Tasks Performed: Data cleaning, exploratory analysis, visualization, application development

• Baton Vehicle (Smart Parachute)

My role is to program the microcontroller used for controlling Baton. Baton is a compact light weight Unmanned Ariel Vehicle (UAV), being developed for delivering ammunition, blood, other supplies during war and rescue operations. Poster for this work was presented at JCATI Symposium 2017, Seattle, WA, USA. Conference paper (under review) for this work was submitted to IROS 2017 o Languages / Software: C, NAVIO2-Linux Autopilot, Github, Raspberry Pi Academic Projects

1. Western USA Power Grid Node Failure Analysis

In this project, data was analyzed from the Western Interconnection system (WECC) of USA. Analysis was performed to provide solutions on how to reduce the effect of a substation failure on the entire network.

• Data Sets: Undirected network data containing 4941 nodes and 6594 edges

• Languages / Software: Grephi, R, MATLAB

2. RealDirect Data Strategy

RealDirect is a New York based real estate brokerage firm. Data set for its website, available at github was analyzed to check the quality of data. Results of analysis were used to suggest ways for improving data quality and sales

• Data Sets: Unclean categorical data from August 2012 to August 2013

• Languages / Packages: R, R packages- corrplot, tableplot, plotly, plyr, ggplot2

• Tasks Performed: Data cleaning, Exploratory analysis, Data vizulization