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Engineering Data

Location:
United States
Posted:
September 01, 2016

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Resume:

EDUCATION

Northeastern University, College of Engineering, Boston, MA Sep 2014 - May 2016

Master of Science, Information Systems

Related Courses: Application Engineering and Development, Web Development Tools and Methods, Engineering of Big-Data Systems, Program Structure and Algorithms, Data Warehousing and Business Intelligence

University of Mumbai, Maharashtra, India Aug 2008 - May 2012

Bachelor of Engineering, Information Technology

TECHNICAL SKILLS

Programming Languages Java/J2EE (Proficient), Javascript (Proficient), SQL, C#, Unix shell scripting

Frameworks/API Spring MVC, Spring Security, Hibernate (ORM), JAX – RS, JDBC, Express.js

Web Technologies HTML5, CSS3, AngularJS, Node.js, jQuery, RESTful Web Services, XML, JSON

Databases MySQL, MS SQL Server 2012

Big Data Technologies Apache Hadoop, HBase, Hive, Pig, Mahout, Flume, MongoDB

Amazon AWS Amazon EC2, Amazon EMR, Amazon S3

Tools and IDE Eclipse, Apache Tomcat, Spring Tools Suite, Git, JUnit, Mocha, Visual Studio 2015

Functional Skills Agile Methodology, Software Development Lifecycle, Behavior Driven Development

PROFESSIONAL EXPERIENCE

Grantham Mayo Van Otterloo & Co. LLC, Boston, MA June 2015 – Dec 2015

Software Developer Co-op

Assisted in design and development of GRIP (Global Research Investment Platform) software for a global investment management firm (Technology used: C#, SQL, jQuery, JavaScript, RESTful Web Services, WPF, WCF, Linq, nHibernate)

Built a scalable RESTful web service using WCF which performed CRUD(create, read, update, delete) operations on financial forecasting data and converted the JSON response into CSV file format

Used jQuery, JavaScript to implement infinite scrolling feature to load securities data from CSV file into web page

Designed and developed a mechanism which automated the process of sending Portfolio Analytics report to the users using C# and MVC design pattern in an agile environment (Database used: SQL Server 2012)

Improved application performance by 10% by enhancing its cache management system and reducing database calls

Accenture Services Private Ltd., Mumbai, India Dec 2012 – July 2014

Software Engineering Associate

Modeled storage rack products using an object-oriented language called Solution Modeling Environment which is a part of SAP Solution Sales Configuration(SSC)

Proactively contributed in developing architectural components using Java by working with the onshore team

ACADEMIC PROJECTS

Drone Simulation with Anomaly Detection using Java May 2016

Developed a Java Swing application to monitor and simulate the drone progress from source to destination

Devised an algorithm using efficient data structures to detect anomalies in the drone path and implemented solutions to correct the path dynamically in case of anomalies

Implemented cache mechanism to retrieve pre-traversed paths in order to improve system performance

E Commerce Website – MEAN Stack Application May 2016

Designed and developed a secure ecommerce application in which the backend(server) included various REST API endpoints developed using Node.js and used MongoDB to persist the products data

Integrated Facebook OAuth authentication on the server side to authenticate each user and keep track of user sessions. Used Mocha, Karma and Gulp to run automated tests using Behavior Driven Development approach

Designed and developed the front end using AnguarJS, HTML, CSS and Bootstrap

Fitness Tracker Web Application using Spring and AngularJS Mar 2016

Developed a Java based web application which keeps track of calories gained by users at different times of the day

Implemented the backend using Java, Spring MVC and Hibernate. Developed a RESTful web service at the backend using Spring MVC and JSON. Spring Security module was used to secure the REST backend

Performed unit testing of the application and REST API functional testing using Spring JUnit

Used AngularJS, lodash and RequireJS to design the frontend. Interacted with backend using AngularJS services

Big Data Analysis on NYC (New York City) 311 Service Requests Dec 2015

Designed a multi-node HDFS (Hadoop distributed file system) using Amazon EC2 and integrated NoSQL technologies like Pig, Hive, HBase, on top of it. Used Amazon S3 for data storage

Created MapReduce jobs using Java, Pig and Hive to analyze 20 million complaints of NYC



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