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
Languages
English
Hindi
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
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
Working on Angular JS and J2EE to develop a Web Application.
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.
Worked in the Service R&D Browser Team [Android Platform] in the Advanced Solutions Group. The main tasks performed during the internship included:
Worked as a member of a team on a pilot project based on Web and Android Development.
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
Implementing an Internet-based platform for researchers to exchange participants among research groups using J2EE (DHTML, JSP, Servlet), MVC architecture.
Implementing and comparing algorithms like Apriori, FP Tree, LERS on a set of 10,000 transactions for data analytics using R and Shiny.
App Development: Expense Management, BMI calculator & weight tracking, iTunes Podcast Display, Mini News app, Quiz app, MedicTalk Chat Application
Implemented various sorting algorithms in JAVA to analyze and compare their time complexity.
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.
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.
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.
Implemented a Multi-Threaded Chat Server for message exchange within connected systems strictly in a Local Area Network using JAVA.
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.
Designed a website for Linux learning resources using Python and Django. The website consisted of 8 levels of varying difficulties with quizzes & tutorials.
Compared various machine learning algorithms to predict wine quality based on its contents; the problem was envisioned both as a regression and classification task.
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.
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.
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).