1. Objective
NISHIT P. BABARIA
13615 Beckingham Dr, Herndon,VA 20171. (703) 507-6076. nbabaria90@gmail.com
LinkedIn: https://www.linkedin.com/in/nishit90
To work as a technical lead with a vibrant organization having emphasis on scalable software development.
Education
George Mason University,Volgenau School of Engineering Mumbai University,Atharva College of Engineering
Master’s in Computer Science Graduated May 2014 Bachelor’s (BE) Computer Science Engineering June ‘12
CGPA: 3.53 CGPA: 3.75
Technical Skills
Languages known: JAVA, MapReduce programming, Apex, Visualforce, HTML, CSS, Javascript,Jquery
Familiar with: Hadoop, Salesforce,Java Concurrency,REST API, Groovy, SQL, Drupal 7, WEKA,
Balsamiq (Wireframes), JSP, Struts-MVC, Git/SourceTree, Jira, Crucible, Bamboo, Tomcat.
Professional Experience
Consultant (Tech Lead), Deloitte Digital, Mclean, VA July ’16 – Present
• Currently working as a Salesforce technical lead of the team with a client in the education industry.
• Responsibilities – Requirements gathering.
- Architecting/designing userstories.
- Develop critical solutions using Apex, Visualforce, Security Modelling, REST Web Service etc.
- Leading the off-shore dev team towards the integrated solution.
• Performing gap analysis.
• Hosting usertrainings (UAT) on client site.
Software Engineer, REI Systems,Sterling, VA November ’15 - Present
• Worked on implementation of the product (GovGrants) for various clients, this includes interacting with the clients
to convey technical solutions and also developing them and rolling them out on a sprint basis.
• Supported existing projects by fixing bugs raised by the clients.
• Actively participate in architecting modules of the product by teaming up with the Salesforce Architect of the team.
• Responsible for the deployment processes to various Salesforce orgs using ANT, Managed Packages etc.
• Technically mentor junior developers and get themup to speed with the product development.
Associate Software Engineer, REI Systems,Sterling, VA August ‘14 – October ‘15
• Working as a Salesforce Developer on the Grants Management Product ie GovGrants.
• Technical Mentor:Summer Internship Program.
• Host developer trainings for new hires.
• To cut load on the architect of the team, took up the responsibility of fixing the production code bugs faced by client
and communicating the same to the QA and the client after the resolution.
• Along with feature developments on the product,took up the ownership of handling builds for the product.
• Participated in the annualHack-a-thon at the company and presented a fully functional Employee Performance
Management application by using Salesforce.
• Assigned to take interviews and give final decisions on the candidates coming in for junior and mid-level positions.
Awards:
• 2015 Hackathon Innovators Award – Developed Machine Learning models to predict disasterlocation based on
certain attributes from the FEMA DisasterManagement Dataset.
• GEM Award – In recognition of outstanding support and contribution above and beyond the callof duty.
Software Engineer, Netuitive, Reston,VA July – August ‘14
• Developed REST endpoints by following agile test driven development
• RAML (REST API Modelling Language)API Designer: For documenting REST responses
• Spring - MVC : For writing the functional code (DAO)
Software Engineering Intern,Netuitive, Reston,VA January – May ‘14
• Familiarity implementing REST API by following test driven development to build REST endpoints.
• Worked on the Integrations project,migrated Maven builds to Gradle which involved writing Groovy scripts,
debugging the legacy code,committing the code,creating Jira tickets, code reviews on crucible and then validating
the generated zip files by testing its efficiency within the core product of the company.
Graduate Teaching Assistant,Applied Information Technology, George Mason University August – December ‘13
• The role involved grading Java programming assignments and solving students’doubts during lab sessions.

2. PROJECTS
GovGrants:
• Electronic Grants Management System (EGMS) which manages grants given by Federal and State Government to
recipients and the entire life cycle of it on Salesforce instance.
• The product is fully customized and wrapped over the salesforce platform and is easily configurable through data.
• Developed complex features as perbusiness needs.
• Developed many helper classes to build on top of standard salesforce functionalities.
• Developed customcontrollers, triggers,UI pages with heavy javascripting and jquery to not let the user use the
native Salesforce layout to configure data thus making the usernot realize that he is using Salesforce service.
Hadoop: March – April ‘14
• Developed MapReduce jobs to derive various statistics and patterns from5 million Chicago crime records and also
implemented K-Means clustering to find groups ofsimilar crime records.Tasks: Data Pre-processing-Removed
redundant attributes,replaced missing values,kept updating the centroids till they converge and after the final
iteration the crime records were assigned to theirrespective clusters.
• Successfully computed the frequency of co-occurrence for every pair of movies from the MovieLens data that
receive a "High" ranking from the same userand also computing the conditionalprobability between the two
movies. This can be used as a primitive way to recommend movie B to customers that rent movie A and like it.
User Interface Development & Design: April ‘14
• Developed a 'Book Rating System' website. Purpose:Users of the site could surfthrough a library of books and rate
and review the books they have read, this site could easily be converted to a bookselling online store as well.
Technologies used:Drupal 7, modified the theme, included usefulmodules for an efficient functionalsite.
Data Mining: February - May ‘13
• Successfully completed crime incident prediction in Washington DCwards, depending upon the weatherand time of
the day,co-occurrence relationship using Java, JAXB, WEKA and also applied various classification and clustering
algorithms to group similar crime types and thus achieved an accuracy of 96.98 %.
• Successfully classified Amazon user’s product reviews as respective starratings with 53% accuracy using Java for
data pre-processing and WEKA for implementing mining algorithms and building efficient models to train.
Certifications:
• Salesforce Force.com Certified Developer (Dev - 401) March 2015 - Present
Extra-Curricular Activities:
• Former Basketball Coach at Rustomjee Cambridge International School. Sept 2010 – Aug ‘12
• Athlete of the year 2012 in Undergraduate school, 3 time Marathon winner at Inter-College Marathon.