EDUCATION

San Diego State University, MS - Computer Science ( GPA 3.7 / 4.0 ) Expected: May 2017

Coursework: Big Data, Analysis and Design of Algorithms, Database Systems, Data Mining, OS

L.D College of Engineering(GTU), BE - Electronics and Communication Engineering July 2011 - May 2015

GPA : 8.14/10.00

SKILLS

Languages – Java, Python, C++, C, PHP, Julia, Prolog, SR

Technologies and Frameworks – AWS, Django, Hadoop, HTML, CSS, JavaScript, JQuery, AngularJS, Bootstrap, Social Engine Software, Pivotal Tracker, Spark, Zend, Git

Database – MySql, Oracle

RELEVANT WORK EXPERIENCE

SocialInfluen.se - Software Engineering Intern May 2016 - December 2016

●Alternating lead on multiple tasks, projects and worked with senior developer on PHP to manage large, complex design projects for corporate clients

●Completed detailed programming and development tasks for front end public and internal website

●Investigated, fixed and debugged software defects

Lintel Technologies Pvt. Ltd. - Software Engineering Intern July 2014 - May 2015

●Developed a Call-back/Missed-call and SMS alert system that will provide all information about student's current ongoing lecture name, Room number of that lecture etc. using Python, MySQL, Raspberry Pi

KrishnaSoftech - Intern May 2015 - July 2015

●Worked on modules in Centralized Admission system of Gujarat University which accrues student’s data, verify it and according to merit allots college to particular student using PHP

ACADEMIC PROJECTS

Implemented application on Hadoop MapReduce and Spark using AWS EMR and AWS S3 Fall 2016

●Developed application on counting word pairs in given text dataset in decreasing order after text normalizing the dataset also count word mean and word count for the dataset

●Implemented a custom Hadoop key type to find total tax returns filled in each state in each category in tax dataset

●Technology Used : JAVA

Developed application on Sentimental Analysis of Twitter data for Presidential Election Fall 2016

●Fetched tweets using twitter API for presidential election 2016 and predicted whether the tweet is supporting Trump or Hillary candidacy based on the sentiment analysis. Also generated word cloud for corresponding Trump and Hillary dataset

●Technology Used : Python

Responsive Web Design Spring 2017

●Implemented an interface to perform stock search using MarkitOnDemand API and post details to Facebook

●Technology Used : AJAX, JSON, PHP, Bootstrap, JQuery, HTML5, CSS

Implemented application on Data Analysis Fall 2016

●Using dataset, created generalized linear model for the regression analysis and visualize regression line of the dataset. Also, processed of data cleaning and sanity check etc. were performed before generating the model

●Technology Used : Julia

A RTOS application for Process Synchronization and locking shared resources Fall 2015

●Used signal handler to handle and control incoming signals and Developed for child processes to run synchronously where program will synchronize shared resources among multiple child

●Calculated time delay between locking and unlocking the semaphore

●Technology Used : Linux, C

INDEPENDENT PROJECTS

Copy File December 2016

●Developed an application to copy file from one location to other and send email when copying is done

●Technology Used : Python Django

Game, Adversarial Search February 2016

●Determined next efficient move for player in game where there are two types of move

●Technology Used : Python

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