RAHUL SARAF Dallas, TX – 75252 |+1 (352)-871-8944| rss130030@utdallas.edu www.linkedin.com/in/rahulssaraf | https://github.com/rahulsaraf PROFILE SUMMARY

4.5 years of work experience in real-time application development with JPMorgan Chase & Co. 4 personal projects in the field of Text Mining, Information Retrieval and Data prediction using Python, R, Hadoop (map-reduce, Hadoop streaming) and Amazon Web Services. Contribution to open source framework ‘Summer Batch’ for providing batch functionality in C#. Past experience of teaching Java, Spring Framework to veterans for their future employment opportunities. EDUCATION Master of Science in Computer Science (Data Science) December 2016 University of Texas at Dallas, Dallas, TX GPA: 3.59/4 Bachelor of Engineering in Electronics & Telecommunication June 2010 Smt. Indira Gandhi College of Eng., Mumbai University, Mumbai, India GPA: 3.88/4 TECHNICAL SKILLS Java, Python, C#, R, Jython, SQL, PL-SQL, Shell Scripting Angular.js, Backbone.js, Underscore.js, JSP, Twitter Bootstrap Lucene, Solr, Spring-MVC, Rest Services, Spring-Batch, Maven, Hadoop, Map-reduce, Amazon AWS (Elastic Beanstalk, EC2, RDS), Hibernate, Web Services WORK EXPERIENCE Barclays Capital, New York, NY Ongoing Technology Summer Analyst, Automated Volatility Trading Developer (Python, Shell script, Jython) Retrieved and analyzed historical data for all common equities, EDR, GDR from major European exchanges using Reuters API. Developed generic framework for the same which can be implemented for APAC and other regions. Implemented automated batch job using python, Jython and shell script to download and analyze EOD, intraday, corporate actions and forex data for all European equities. Developed standalone reporting batch job to generate CCAR report for given valuation request to evaluate capital planning processes and capital adequacy using federal reserve board’s supervisory scenarios. Implemented error reporting and automated the whole process with no manual intervention. Blu Age Corporation, Dallas, TX Jan 2016 – May 2016 Software Developer Intern (C#, .NET, Angular.js) Trans-modeled legacy application in COBOL to web application using angular.js, C# and .NET for WCB client. JPMorgan Chase, Accenture Mumbai August 2010 – December 2014 Application Developer (Java, Spring framework) Implemented an efficient algorithm to restrict illegal access to sensitive data by calculating entitlements of users with multiple roles leading to accurate and faster search results. Developed an algorithm to predict total processing time of import batch job based on age and weight of the import request leading to efficient scheduling of batch requests. Implemented a spring batch job with JMS queue to handle card account creation during TSYS outage hours which mitigated a design gap impacting 15% of clients. Resolved defects and developed enhancements to improve consistency and performance of the system. TEACHING EXPERIENCE University of Texas at Dallas, CS Department February 2015 – Present CS Outreach Instructor Responsible for conducting coding workshops on Java, Programming Contest Problems, JavaScript, SQL and Databases, Web Programming.

NON-ACADEMIC PROJECTS Google chrome extension for smart shopping (JavaScript) Ongoing Developing an extension for notifying price drop of an interested item from an online shopping website. Search engine for user reviews of restaurants (R, Hadoop, Amazon AWS, Lucene, Solr) August 2015 – Dec 2015 Extracted sentiment from user reviews using Stanford sentiment analysis algorithm. Built an inverted index on user reviews and its sentiment using map reduce in R to enable search for positive and negative reviews for given restaurant. Built relevance model based on frequency of word and magnitude of sentiment to return most relevant results for given search criteria. Capital One challenge – Categorize clients based on Transaction Data (Python) July 2015 Developed an algorithm using time series analysis and k-means clustering to categorize clients in daily, weekly, monthly or yearly category based on their frequency of transaction. Netflix rating prediction (R, Python, Hadoop) April 2015 Cleaned and processed data using Python. Predicted user rating using Generalized Linear Model in R and ran it on Amazon EMR to handle huge Netflix dataset. GRADUATE ACADEMIC PROJECTS University of Texas at Dallas January 2015 – August 2015 Home Automation System (Raspberry pi, python, IBM Bluemix, Android) Developed an android application to control temperature, lights and media devices using IBM Bluemix IOT platform and raspberry pi. LibSys: Library Management System (Spring MVC, Twitter Bootstrap, JSP, JDBC, MySQL, Amazon AWS) Developed a web application for librarians with functionality of check-in, check-out and search books. Deployed on Amazon beanstalk to be accessible on all devices. Design and Implementation of Low-level Database (Java) Implemented low level database by creating binary and index files for given data which supported a subset of SQL and relational algebra operations on all columns. PROFESSIONAL AND ACADEMIC HONORS Won 1st prize for developing an android app ‘Quick’ at TechMahindra I5 Hackathon January 2015 3-time Stellar Award winner for Technical Excellence, JPMorgan Chase October 2013 – July 2014 Seven times Awarded with ‘Performance Monetary Award’, Accenture January 2012 to November 2012 Academically Ranked 1st, Smt. Indira Gandhi College of Eng. 2007-08 & 2009-10