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Project Computer Science

Fullerton, California, United States
January 06, 2018

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Akash Raju

*** ********* *****, ********* ** ****1 949-***-****


California State University, Fullerton December 2017 Master of Science, Computer Science

CMR Institute of Technology, Visvesvaraya Technological University June 2015 Bachelor of Engineering in Computer Science & Engineering COMPUTER SKILLS

Programming Languages: Python, R programming, OpenGL, SQL, Unix Shell Programming, HTML, CSS, basic(C,C++ AND Java)

Software Engineering: Good understanding of Agile Methodologies, UML, Entity Relationship diagrams, Control Charts, GQM, Unified Process, Scrum, XP, Black Box Testing, White Box Testing, (SDLC) Software development Lifecycle. Basic Knowledge of CMMI, Jira, Bugzilla and Selenium. Database Systems: RDBMS, MS Excel, RStudio.


Access Control is a Decentralized Online Social Network using a policy hiding cryptographic primitive May 2015

Bachelors project which was a collaboration of four to understand how the research paper works

Designed test cases using based on the graphs and entity relationship diagrams that were created.

Performed Integration testing and regression testing on the separate codes using trial and error method

Performed manual testing using decision tables and equivalence partitioning to find bugs and to verify if it meets the use cases and functional requirements Fullerton e-Shopping Website May 2016

Software Process project which was a collaboration of three.

Created the “Development Case” which is the most important artifact of Unified Process.

Created and updated Sequence Diagrams, Traceability Matrix, Traceability Diagram and Project Document

Designed test cases based on the use cases and functional requirements

Performed manual testing based on the Traceability Matrix, Use Cases and Functional Requirements

Designed and Learned to use the Cockburn scale on this project

Performed Manual testing using Error Guessing and Decision Tables Noise Detection May 2016

Found Anomalies in Wine dataset from the UCI repository

Used CRAN(DBSCAN). AND CRAN(fpc) to determine noise in the datasets.

Data was split into Training and Testing data using the sample.split function from the CRAN(caTools) package and the results of training and testing data was compared and analyzed. Analysis of Data Mining Algorithms using R-API (Shiny and Leaflet) December 2017

Masters Project that was created to analyze the USA Mass Shootings Dataset.

Pre-Processed data using “data.table” and “tidyverse” library in R

Created reactive graphs using PLOTLY library in R

Created reactive maps using the LEAFLET library which is an open-source JavaScript library for interactive maps.

Creating a front end that can run the project using SHINY library in R. PARTICIPATIONS

Generation United Nations- member at CSUF August 2016-May 2017

• Organize workshops and events to raise awareness about Social, Cultural and Environmental issues Leadership Action Learning Program at CMR Institute of Technology May 2014

• Mentoring program that was designed by the Principal of the College.

• Assisted students with their academics and suggested career opportunities.

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