1. Karan Chauhan
(585) 319 0331 kc2083@g.rit.edu
LinkedIn : https://www.linkedin.com/in/karan-chauhan-731338a5 Github : https://github.com/krn3333
Seeking a Fulltime opportunity where I can apply my skills as a Software Developer and Designer.
E D U C A TI O N
ROCHESTERINSTITUTEOF
TECHNOLOGY|GPA: 3.5
MS MAJORING IN COMPUTER
SCIENCE
December 2016 | Rochester, NY
RAJIV GANDHIINSTITUTE
OF TECHNOLOGY
BE IN COMPUTERENGINEERING
July 2014 | Mumbai, India
C O U R S EW O RK
GRADUATE
Analysis of Algorithms,
Introduction to Big Data, Big Data
Analytics,Data-DrivenKnowledge
Discovery,Topicsin Database
Management,Advanced Java
Programming, Foundations of
Intelligent Systems, Introduction
to C++, Computer Science Theory.
UNDERGRADUATE
Database Management, Algorithms
and Analysis,Web Development,
Image Processing,Computer
Networks, SoftwareEngineering,
Artificial Intelligence, Java
Programming.
S K I L L S
LanguagesandFrameworks:
Java• Html • Javascript • CSS
PHP•R• ASP •C++ •My-Sql
•MVC Framework •AngularJS
ToolsandApplications:
Eclipse • Weka• Matlab • Rapid
Miner • Rattle • Visual Studio
OperatingSystems:
P R O J E C T S
SOCCER ANALYZER AND PREDICTOR | R, Weka, ShinyApps, Rattle
• Capstone Project that helps soccer analysts to predict the future results
and statistics based on previous results.
• Score Prediction and Betting Odds Prediction based on Logistic Regression,
Random Forest, Linear Regression and Poisson regression models.
• Implementation in R, Weka, Rattle and Interactive GUI using ShinyApps.
PREDICTING FAVORITE DISHES FROM YELP | Java, NLP
• Use of the Yelp review dataset in JSON format to pick out popular
dishes in restaurants.
• NLP techniques such as sentiment analysis, POS tagging along with
string matching algorithms used to identify food items from reviews
• Interactive GUI for selecting restaurants and its popular dishes.
Implemented using Java and Stanford NLP libraries.
COGNITIVE FACE ANALYSIS FOR INTERACTIVE T.V. | Matlab
• Machine learning and Image processing project providing a real-time
face analysis system that can detect and evaluate human expressions.
• Face Recognition, Face Detection and Facial Expression evaluation
using lpb operator, Gabor Filter and SVM using the waterfall approach.
• Used JAFFE image database for training and testing with 2000 images.
SONGSMANIA.COM | HTML, CSS, Javascript
• Interactive Website concentrating on effective and robust application of
web technologies and languages such as Html, css, javascript and jsp.
• Enables the users to browse, listen and download songs.
• Search features using jquery along with data connectivity.
POKEMON GO WEBSITE | Angular, Javascript, Html, CSS
• Currently started working on website for popular game Pokemon Go.
• Enables the players to get an insight into different aspects of the game
including pokemoninfo, gameplay statistics and location updates.
• Angular 2 framework is being used along with javascript and html.
TIC TAC TOE MULTIPLAYER GAME | Java, TCP
• Implemented the Tic Tac Toe Multiplayer Game using Java.
• Client-Server networking using TCP along with multi-threading to
enable efficient 2 player game.
• Interactive GUI using Java Swings.
OTHER PROJECTS
• Routing Information Protocol exchanging information on servers.
• Analysis of Hospital Database for Diabetic Patients.
• Decision Tree classification in Python.

2. Resume: Bryan Hloombert 2|P a g e
Mac OS • Windows• Linux