Microsoft Office Project

MADHURA NANDAKUMAR

Phone: 313-***-**** Email: act09v@r.postjobfree.com Address: 4500 Cass Avenue, Apt 615, Detroit, MI 48201. Objective

Ambitious graduate looking for a challenging full-time position in the IT industry with an opportunity to work with the latest technologies and challenging projects. Education/ Qualifications

Master’s in Computer Science: Wayne State University Expected Graduation in May 2016 Current GPA: 3.54/4.0

Relative coursework: DBMS (Data Base Management SQL and NoSQL) Cyber Security Web Technology Data Structure and Algorithm Artificial Intelligence Design and Analysis of Algorithms Machine Learning.

Bachelor of Engineering in Information Science and Engineering: Visveswaraya Technological University, India Graduated.

Work Experience

Meritor Inc. July 2015 - Present

Maintaining and developing the Drive Train Life (DTL) web application using Visual Studio with ASP.Net. This application would evaluate the fatigue life of the gear-set in the carrier assembly.

Developing many programs with various calculations for the gear system using Visual Basic Macros in Excel.

Skills

Software Programming: C, C++, Java, .Net, R Programming, Python Database: SQL, NoSQL Databases, Hadoop

Development Tools: Eclipse, Flask, Bootstrap, RoboMongo, Microsoft Visual Studio, RStudio, Microsoft Office.

Mark up Languages: HTML, CSS, XML, and XSLT.

Projects

Defences against Large Scale Password Guessing Attacks by Using Cued Click Points May’14

Project proposes the security of Cued Click Points in a graphical password technique where remembering only one point per image was easier and safer than the normal textual passwords.

Technologies used include ASP.Net, SQL Server 2005 for database and used Silver Light 5 tool for graphics/video insertion.

E-commerce Website October 2014

Designed an online shopping website.

Technologies used are Eclipse (Java) for front end and MySQL database for the back end. Insights on Stack Exchange Data Sets April 2015

Project proposes the survey made on the Stack Exchange website.

Survey includes the top rated questions, Trends of the tags per year, the Top 10 tags with “thank you” as comments. Results of these were obtained by making use of map-reduce queries.

Technologies used include Bootstrap- JQuery & Flask for the front end and Mongo DB as back end. SMS Spam Filter November 2015

Implemented different Machine Learning techniques to filter spam and non-spam messages.

Implemented this project in R- Programming using RStudio.

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