Isha Bobra is pursuing a Master's degree in Computer Science with a focus on Data Science at North Carolina State University. She has work experience as a Software Developer Intern at IBM and as a Software Engineering Analyst at Accenture. Some of her projects include developing a backend for a web tool at IBM using NodeJS and microservices, implementing portions of the CSS object model for Mozilla in Rust, and using machine learning algorithms to classify webpages as sponsored or not. She is proficient in technologies such as IBM Cloudant, Hadoop, Java, Python, and Rust.

1. Isha Bobra
Raleigh, NC 27606 | +1(984)500-8490 | ibobra@ncsu.edu
www.linkedin.com/in/IshaBobra | https://github.com/IshaBobra
EDUCATION
Masters in Computer Science (Data Science) Aug 2015- May 2017 (Expected)
North Carolina State University, NC GPA – 4/4
Courses: Algorithms, Database Management Systems, Automated Learning and Data Analysis, Advanced Database
Management Systems, Object Oriented Design and Development, Artificial Intelligence, Computer Networks
Teaching Assistant - Database Management Systems Jan 2016 - May 2016
Bachelor of Engineering (Computer Engineering) 2008-2012
University of Mumbai (MU), Mumbai, India GPA - 3.5/4
PROFESSIONAL EXPERIENCE
Software Developer Intern, IBM, Raleigh, US May 2016 - Aug 2016
Worked on developing a RESTful backend for a web based tool to help IBM Sales Managers. Designed and created
the database on IBM Cloudant - a document type NOSQL data store, used NodeJS as the middleware and managed
the backend in the form of microservices which were managed and deployed on IBM Bluemix. Followed Agile
practices and Proof of Concept driven approach throughout the development and was involved with end to end
software development cycle.
Software Engineering Analyst, Accenture Services Pvt Ltd, Mumbai, India Feb 2013 - June 2015
Oracle Applications R12 (E Business Suite) - R12 Upgrade and Implementation
Developed an interface to replace the Oracle iExpense module with CONCUR and a Web ADI based invoice upload
solution. Created the Technical Specification Document (TSDMD70), supported System Integration Testing (SIT),
User Acceptance Testing (UAT) and production migration
CERTIFICATIONS AND SKILLS
Technical Skills:
 IBM Cloudant, Database (Oracle 10g+), Hadoop, Hive
 NodeJS, REST/HTTP APIs, Java, PL SQL, Ruby on Rails, VB.Net, Python, Rust
 Resource Description Framework (RDF), Kafka, IBM Strongloop on IBM Bluemix
 ClearCase, Git, Web ADI, XML Publisher, Autosys, 170 Markview SSI and Discoverer reports
 Oracle Applications Accounts Payables, iExpense and General Ledger modules
Certification: 1Z0-051 - Oracle Database 11g: SQL Fundamentals I
ACHIEVEMENTS
 Accenture awards:
Zenith Rising Star (2013), Accenture Celebrates Excellence (2014), North America FS Delivery Excellence (2015)
 Bachelor of Engineering final year project:
2nd
prize in a National Level project competition and 1st
Prize in an Intra-College project competition
SIGNIFICANT PROJECTS
Bachelor of Engineering Final Year Project: Ticket booking for Mumbai local trains via SMS Aug 2011 - May 2012
 Developed complete backend (Oracle) and frontend module using VB.Net and demonstrated the actual ticket
purchasing procedure. Dealt with finding the most optimal route between two stations and sending real-time
SMS tickets using AT Commands
Open Source Contribution - Implementing common parts of CSSOM for Mozilla Mar 2016- May 2016
 Implemented the most commonly-used portions of the CSS object model to increase Servo's compatibility with
existing webpages using Rust
Data Analysis to predict which webpages served by StumbleUpon are sponsored Oct 2015 - Dec 2015
 Trained a classifier with a huge dataset of raw HTML files provided by StumbleUpon by preprocessing and
performing feature selection to extract the useful content for classification using Python.
Applied Naive Bayes, Vector Space and Random forest algorithms for text classification
Big Data Management research project Feb 2016 – Apr 2016
 Worked on a Big Data research project to manage the heterogeneous data collected from IoT. The idea was to
extend Apache Kafka topics to patterns rather than just keyword