1. Nispand Mehta
C: 6692356111 | nispand.mehta@gmail.com | www.nispandmehta.ml | https://www.linkedin.com/in/nispandmehta
Objective
 Seeking Fulltime Job to utilize my knowledge and gain experience in field of computer Science, focused in Web Development, Cloud Computing, Software
Engineering or Machine Learning.
Education
 Major: Computer and Information Science MASTERS | DECEMBER 2016 | UNIVERSITY OF TEXAS AT ARLINGTON
 GPA: 3.79
Skills & Abilities
• Languages: C, C++, Java, Python, PL/SQL, Node.js
 Cloud Technologies: Google App Engine, Amazon EC2 Engine, AWS RDS,
AWS Memcache,Elastic Search,Hadoop
• Frameworks: Rails, Bottle, Spring, Django, Ionic
• Web Technologies: JavaScript, CSS, JQuery, JSON, AngularJS,
HTML5
• Database: MySQL, Oracle, MongoDB, Dynamo DB, PostgreSQL
• IDE: NetBeans, Eclipse, Android Studio, Visual Studio, PyCharm,
TOAD
• Version & Automation Control: Git, SourceSafe, Jenkins
Experience
INTERN-SOFTWARE DEVELOPER | TALON-SYSTEMS LLC January 2016 – August 2016
 Writing and maintaining source code to obtain browser independence for web application and unit and system testing to ensure browser independence of
web.
INTERN-SOFTWARE DEVELOPER | TATA TELESERVICES LTD June 2013 – June 2014
 Developed software to generate EMF radiation compliance report of cell site using theoretical formulas as per DOT guidelines.
Was selected in top 20 Innovative Project Showcase in IEEE-Computer Society Conference 2013.
Projects
 Sentiment Analysis on twitter discussion threads using Collaborative Filtering August 2016 – November 2016
Performed Sentiment Analysis on twitter discussion threads using LIWC, NLTK, Deep Learning.
Predicted sentiments among users using collaborative filtering.
Relevant Subjects: Machine Learning, Data Analysis, Data Mining, Social Network Analysis.
 UTA Mav’s Appointment August 2016 – October 2016
To get Appointment of the advisor is always a painful process so we developed Mav’s appointment scheduling web application where advisor and student
can schedule the appointment and manage them. Searching for available slots, cancelling appointment, getting email notification or confirmation.
Developed using Java, JSP, Java Servlet and Java Beans, Jenkins, JavaScript.
 SnapRyde March 2016 – October 2016
Currently Developing a hybrid mobile Application for both android and iOS. Developing a common platform to share the rides with another user. Using this
application, you can share your ride or request a ride and search nearby available options depending on your locations.
 Amazon Web Services (AWS) June 2015
Implemented a Web Interface in Python Bottle framework using Amazon's EC2 instance to upload file in amazon S3 bucket. Inserted approx. 100000
records from Bucket to Amazon RDS as well as in Dynamo DB. Stored queries and results as a key/value pair in Elastic Cache (memcahe) for faster memory
access. Relevant Subjects – Cloud Computing
 Clustering on Amazon Cloud (AWS) June 2015
Implemented k-means clustering using python modules. Users can select attributes and number of clusters which would be plotted using PyLab. As an
extension created a web interface for the same using python bottle framework and Ajax request Visualized user selected attributes into bar charts and
scatter charts using d3.js Relevant Subjects: Machine Learning, Cloud Computing.
 Smart Companion & Meeting Scheduler Tools - Android applications January 2015-May 2015
A Smart “TODO & Task Manager” application that identifies what needs user attention and show them at configured time - Call based, Wi-Fi based and
Calendar based reminder.
Created a Meeting Scheduler on Android and implemented it on distributed server which schedules a meeting based on user's current location, date/time.
Meeting location is calculated based on preferences provided by each participant. Relevant Subjects: Software Engineering, Distributed Systems.
 Web based Application Developed Using Ruby on Rails and AJAX Jan 2015-May 2015
Performance Analysis on MySQL and NoSQL databases using large dataset using Web Application Developed in Ruby on Rails. Relevant Subjects: Web Data
Analysis.
 Implemented KNN – Classification Algorithm for prediction October 2015
Evaluated and compared performance of KNN classification algorithm on three datasets using distance measures and kernels.
Performed K-Fold class validation for training and testing models.
Implemented using R statistical language and datasets like yeast, ecoli and glass.
Achievements
 Co-Founder – SnapRyde Inc. A Car Pooling Platform to share ride in real time with riders going in the same direction. Formed in August 2016.
 Winner of Epic Mavs Deep Dive 2016 Startup Competition.
 President – IEEE Computer Society at University of Texas – Arlington 2015