Ruchira Patil
***C Ward Street, Boston, MA ***** 857-***-**** ac4e01@r.postjobfree.com https://www.linkedin.com/in/ruchirapatil https://github.com/Ruchi2729?tab=repositories
EDUCATION
Northeastern University, Boston, MA Master of Science- Information Systems December 2017 Relevant Courses: Big Data Engineering, Web Design, Web Development and Tools
Pune University, Pune, India Bachelor of Engineering-Electronics and Telecommunication May 2013 Relevant Courses: Data Structures and Algorithms, Computer Networks
Languages:
JAVA, JavaScript, C#,Python, Scala,C
Web UI:
Angular2, Angular1,D3.js,TypeScript,React, HTML5, CSS3, AJAX, JSP, Servlets, JSTL, Bootstrap, jQuery
Web Backend:
node.js, PHP
Database and Servers:
MySQL, SQLServer,Oracle12C, PostgreSQL, MONGODB, DynamoDB
Web Frameworks and Tools:
MEAN, MAMP/WAMP, Scala Play, Spring MVC, Hibernate, REST, SOAP
Big Data & other Frameworks:
Hadoop, MapReduce, Mahout, Lucene, Elastic Search, Spark, Akka, Kafka
Cloud Platforms
AWS (S3,EC2,EMR,DynamoDB,API gateway)
Testing Technologies
NUnit, Junit, SpecFlow, Cucumber, Selenium-Web driver, Selenium-Grid, Mocha
Version Control,
Git, SVN, TFS
Build & package mgmt, CI
Maven, Graddle, NPM, Bower, Nuget, Jenkins, TravisCI, Docker
TECHNICAL SKILLS
PROFESSIONAL EXPERIENCE
Agero INC, Boston, MA Software Engineer Intern January 2017 – August 2017
Developed new functionalities by consuming/developing/modifying RESTful web services in .NET, JavaScript for IVR project.
Worked on converting SOAP API into light REST api to make deployments on AWS cloud easier.
Created data pipeline using AWS cloud technologies like API gateway, Dynamo Db, Lambda, S3 and developed web dashboard using .NET and Angular.
Implemented Splunk logging in IVR application & built interactive BI dashboards to monitor performance.
Automated integration testing using Specflow framework and Unit testing using Nunit to achieve 100% test coverage.
Synechron Technologies, Pune, India Associate Software Engineer December 2013 – December 2015
Developed web dashboards to visualize and track Automated Test execution using Java, Jenkins and AngularJS.
Developed an Automation Testing framework in Java for web, CSR and IVR applications for a project in Mobile Insurance domain.
Reinforced automation scripts for QAS address validation scenarios for 100% reduction in execution time & manual efforts.
Trained a batch of 15 beginners in Agile, Scrum methodologies, SDLC processes and in Automation Testing Framework development in Selenium and Java.
Northeastern University, Boston, MA Graduate Teaching Assistant for Web design September 2017-Present
Assisting professor to teach latest trends and technologies in web design.
Conducting labs and lectures for class of 40 students to complete complex web design assignments.
ACADEMIC PROJECTS
Elite Events : Event Management Website using MEAN April 2017
Developed an interactive responsive website for an event management tasks in MEAN stack.
Technologies used: AngularJS, Bootstrap, HTML, CSS, NodeJS, Express, MONGO
Movie Library June 2016
Used IMDB API and built a website for users to browse, search, like, review and rate the movies.
Technologies used: Maven, Spring MVC, Hibernate, AJAX, Velocity, Bootstrap, HTML, CSS
Predictive Analysis on Amazon’s Dataset November 2016
Processed Amazon’s Review and Rating dataset to build recommendation engine over products and users.
Used Mahout’s logistics regression library to predict the ratings for products.
Technologies Used: AWS EMR, Hadoop, MapReduce, Mahout, R, Python, Hive/Hue
Real Time Data Pipeline on Expedia Dataset using Spark and Scala October 2017
Built a real time data data pipeline to provide users with hotel recommendations.
Implemented Machine learning to predict which hotel type will Expedia customer book.
Built Web Dashboard for BI and analytics over the processed data.
Technologies Used: Scala, Spark RDD, Spark SQL, Spark Streaming, MLLib, GraphX, Scala-Play Framework.
Image Search Engine August 2017
Developed a Lucene based reverse image search engine and implemented image processing algorithms in Python.
Technologies used: Java, Lucene, Python, OpenCV
Data Modelling and BI Analysis April 2016
Created dimensional data sub-models with the help of the given Data model for Warehouse by doing reverse engineering process in Toad Data Modeler.
Created OLAP cubes in Microsoft Visual Studio for each of the dimensional data models for Business Intelligence and Analysis.