2015 - 2016Graduated
2011 - 2015Graduated
Software Developer for product Routefinder GO using technologies like AngularJS and C#
Responsible for the creating dynamic script in Ny.gov website's LDAP and Oracle database for better data handling.
Working on Ultra wide-band technology project for New York city transport MTA (Metropolitan Transportation Authority) with Prof. Hany Elgala
Teaching assistant for subject CSI 519 Advanced Programming Concepts under instructor Prof. Paliath Narendran.
Teaching assistant for subject CSI 416/516 Computer Communications Networks I under instructor Prof. Mariya Zheleva.
Working on FAST feature subset selection algorithm to prove its practical efficiency with the theoretical one. Developed plugin for WEKA data mining tool and proved the efficiency.
A web portal for training and placement cell Charusat University. This was used by Training and placement cell, Charusat University in placement session academic year 2012-2013.
A full-fledged desktop software for Charusat University Professors to design and conduct tests and other contests related to computer programming and algorithms written in various languages for students. The system was implemented for 4th Semester Practical Exam and also for national level tech fest event KUDO-CODE and is proposed to be used as an integral part of the teaching curriculum on an on-going basis thereafter.
This is the same project as Coding Environment System but this works fully online. User can take part in any contest by logging in to the site using internet access.
Developed a a classifier that can distinguish sentiment(positive, negative and neutral sentences) in text. The classifier was based on text features extracted from the training data set. Using WEKA libraries and LightSIDE Labs.
Developed a application to find involvement of individual in a group conversation with the use of Stanford coreNLP tool. Calculated every person's turn index, POS count, Sentiment ratio, and distance between language ratio.
This is social networking site for students of University at Albany. Where students and faculty of University can register and use it. They can found NewsFeeds by Campus officials and other students as well as student market allows them to buy and sell items. Roommate finder feature is for finding a new roommate and much more.
This is datamining project for give the prediction of next president of USA. For this I have used tweets from different users and used data mining techniques like clustering, classification, association rule mining and sentiment analysis.
It is implementation of FAST algorithm and prove its theoritical efficiancy with practical one. We impplmented WEKA plugin for FAST and proved it. Research paper submitted in Springer.
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