Vikrant Dabas Profile Pic

Vikrant Dabas

Graduate Student

North Carolina, US

vikrantdabas@hotmail.com | vdabas@uncc.edu

On Request


Summary

Dynamic, articulate, team-spirited, performance-driven engineering graduate, currently pursuing MS in Computer Science. Passionate coder & an enthusiast software developer. Actively looking for an Internship-Summer 2017 to contribute and expand upon my analytical & software development skills, experience & capabilities. Willing to relocate for the right opportunity.


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Technical Skills

JAVA
J2EE
Android
Android Studio
C
C++
R
SQL (MySQL)
HTML5
Bootstrap
CSS3
Git
JQuery
JavaScript
JQuery
Ajax
Python
Weka Tool
Django
Linux OS
Windows OS
D3.js
Orange
Lisp Miner
CART
SAS Data Miner
See5/C5.0

 


Languages

English

100%

Hindi

Native/Bilingual Proficiency


Education

University of North Carolina, Charlotte
August, 2016 - Current

Master of Science in Computer Science

GPA: 4.00/4.00

Related Course Work: Database Systems, Algorithms & Data Structures, Knowledge Discovery in Databases, Software System Design, Mobile Application Development, Network Based Application Development (J2EE), Knowledge Based Discovery


Delhi Technological University (Formerly Delhi College of Engineering)
August, 2012 - June, 2016

Bachelor of Technology in Computer Science & Engineering

Percentage: 86.1% | GPA: 3.96/4.00

Related Course Work: Object Oriented Programming, Data Structures, Database Management System, Operating System Design, Algorithm Design and Analysis, Basics of Software Engineering, Web Technologies

Internships

Product Intern / CCC Information Services, Chicago, Illinois
May, 2017 - August, 2017

Working on Angular JS and J2EE to develop a Web Application.


Project Intern and M. Tech. Admission Assistant / Delhi Technological University
June, 2016 - August, 2016

Worked on the research project “Opinion mining to assist user acceptance testing for open-beta versions” & developed a Python-based tool to perform emotion analysis by finding opinion markers in tweets related to Public-beta software versions. Also assisted the Department Admission Coordinator with M. Tech. Counseling. Worked in close coordination with Central Admission team & Web team for necessary updates.


Summer Intern / Samsung R&D Institute India, Noida
June, 2015 - July, 2015

Worked in the Service R&D Browser Team [Android Platform] in the Advanced Solutions Group. The main tasks performed during the internship included:

  • implemented a Real Time Currency Conversion Application in Android
  • modified and implemented an update patch for Sbrowser Application in Samsung Mobiles
  • participated in team meets and put forward my thoughts on various technical points


Winter Intern / Digisoft IT Solutions Pvt. Ltd.
December, 2014 - January, 2015

Worked as a member of a team on a pilot project based on Web and Android Development.


Projects

Painting Classifier
April, 2017

Creating a database of 2000 paintings from Saatchi Arts and creating a high precision classifier to predict the price of a painting. Technologies: Weka Tool, SAS, Python(Scrappy), JAVA


Researchers Exchange Participations
April, 2017

Implementing an Internet-based platform for researchers to exchange participants among research groups using J2EE (DHTML, JSP, Servlet), MVC architecture.


Association Rule Mining
April, 2017

Implementing and comparing algorithms like Apriori, FP Tree, LERS on a set of 10,000 transactions for data analytics using R and Shiny.


Android Projects
Ongoing

App Development: Expense Management, BMI calculator & weight tracking, iTunes Podcast Display, Mini News app, Quiz app, MedicTalk Chat Application


Empirical Analysis of Sorting Algorithms
December, 2016

Implemented various sorting algorithms in JAVA to analyze and compare their time complexity.


Knowledge Discovery using Action Rule Mining
November, 2016

The goal of the project was to perform Action-Rule mining for the given Fragile State Index Dataset with new extended features and further assess how the action rules would change from year to year. The methods employed to do so included building classification trees using WEKA and writing a program in JAVA to get ACTION-REDUCTS from the dataset.


Phi Beta Lambda Clothing Closet Web Application
November, 2016

Developed a Web App with MySQL as Database to mimic an e-commerce site for an Instagram Donation Page. Implementation was done in both PHP and Django. The main focus of the project was to design and build an efficient database.


Automated Complaint Workflow Tool for Social Web, Case Study: HDFC Bank
May, 2016

Developed a tool using Python which downloaded posts and comments from Facebook and classified them as Complaints, Enquires or Positive Feedback/Irrelevant Information and routed the complaints and enquiries to the appropriate resolution owners, supervisory levels and management.


VCHAT Chat Server
December, 2015

Implemented a Multi-Threaded Chat Server for message exchange within connected systems strictly in a Local Area Network using JAVA.


Emotion analysis using Opinion Mining
May, 2015

Developed a tool using Python which downloaded tweets from Twitter corresponding to a given hash tag or username and applied various opinion scoring techniques to predict/estimate the overall emotion of the downloaded tweets.


Linux Tutorial and Quiz Website
November, 2014

Designed a website for Linux learning resources using Python and Django. The website consisted of 8 levels of varying difficulties with quizzes & tutorials.


Wine Quality prediction using Machine Learning Algorithms
December, 2015

Compared various machine learning algorithms to predict wine quality based on its contents; the problem was envisioned both as a regression and classification task.


Conferences / Research Papers

A Social Media Complaint Workflow Automation Tool using Sentiment Intelligence
2016

Kumar, A. and Dabas, V. (2016). A Social Media Complaint Workflow Automation Tool using Sentiment Intelligence. Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering 2016, pp.176-181.


Emotion analysis of Twitter using Opinion Mining
2015

Kumar, A., Dogra, P., Dabas, V. (2015). Emotion analysis of Twitter using opinion mining. Eighth International Conference on Contemporary Computing (IC3), pp. 285-290, IEEE.


Senti-SCRM: Sentiment Intelligence based Social Customer Relationship Management Tool
2017

Kumar, A. & Dabas, V. (2017). “Senti-SCRM: Sentiment Intelligence based Social Customer Relationship Management Tool” for a book on “IAENG Transactions on Engineering Sciences”, World Scientific. (Accepted to be published).


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