POOJA VENKATESH

Arlington, TX ***** • 682-***-**** • ac01es@r.postjobfree.com

LinkedIn: Profile- https://www.linkedin.com/in/pooja-venkatesh-2556a2135

TECHNICAL SKILLS

• Programming Languages: Java, C, C++, PHP, JavaScript, Pig Latin, HiveQL, Scala

• Web Technologies: HTML, CSS

• Database: MySQL, Oracle DB

• Tools: Git, Microsoft Office, Net beans IDE, Eclipse IDE, XAMPP, Junit, JACOCO

Frameworks: Hadoop, Codeigniter

Platforms: Apache Pig, Apache Hive, Spark

• Operating System: Windows

• UML modeling, Defect Reporting and Analysis, DMAIC Quality Improvement, Excel Work Breakdown

Structure, Basics of Android Studio

TECHNICAL PROJECTS

A Coffee House Web Application – An e-commerce web application of a Coffee house showing details of their Menu and their entertainment section wherein customers can learn about their favorite artists performing on a respective day in addition to this, users can also apply for a job application if they are interested to work for the coffee house.

Feb, 2017

Web Mashup: Displaying best restaurants on a map – A web mashup that combines two web services: Google Maps and the Yelp API for Developers using Javascript and AJAX. The application will be able to find best matches for the restaurant of your choice.

Mar, 2017

Graph processing using MapReduce and Spark – This project finds the connected components of any undirected graph and prints the size of these connected components using MapReduce and Spark with the goal to compare the performance of these technologies. Oct, 2016

Matrix operations using MapReduce on Hadoop, Apache Hive and Apache Pig – This project demonstrates the matrix operations using MapReduce on Hadoop, Apache Hive and Apache Pig with the goal to compare the performance of these technologies. Nov, 2016

Root Cause Analysis of a quality or productivity problem – Examining a company’s loophole that is customer related problems that are taking too long to fix by finding the root cause of the problems and suggesting improvements for the same. Apr, 2016

• UTA Blackboard Application - Android implementation of UTA’s web application wherein students can login using their credentials and access their course structure while working on the same. Dec, 2015

EDUCATION

Master of Science, Computer Science, University of Texas at Arlington

Current GPA: 3.5/4, Graduated: 2017

Bachelor of Engineering, Computer Science & Engineering, APS College of Engineering

GPA: 3.6/4, Graduated: 2014

For more information, please visit the link

Contact this candidate