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Resume-DivyaDuraisamy

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divya samy

This document is a resume for Divya Duraisamy, who is pursuing a Master's in Computer Science at the University of Illinois, Chicago with an expected graduation date of May 2016. She has experience developing web and mobile applications using technologies like Java, Python, JavaScript, AngularJS, and databases like MySQL and MongoDB. Her projects include developing an employee performance tracking tool and redesigning an HR website using PHP and MySQL. She is currently working on distributed inventory management and airline data analysis projects using technologies like Docker, MongoDB, JUnit, and D3.js. Her past experience also includes data analytics internship and undergraduate projects involving machine learning, sentiment analysis, and security systems.

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ddurai2@uic.edu DIVYA DURAISAMY 1021 S Racine avenue, coach house, (312)-721-4499 http://ddurai2.people.uic.edu/ Chicago, Illinois 60607 EDUCATION Master in Computer Science GPA: 3.6/4.0 Expected May 2016 University of Illinois, Chicago Bachelor of Engineering in Computer Science GPA: 8.52(Rank holder) Graduated May 2014 Anna University TECHNOLOGY SKILLS: Programming Languages: Java, Python Web Frontend Technologies: HTML, CSS, JavaScript, D3.js, AngularJS Standards and Frameworks: J2EE, Maven, PHP, RESTful, Node.js Databases: MySQL, SQLite3, MongoDB Big Data Technologies: Hadoop Mapreduce, Mahout, Hive EXPERIENCE: • Graduate Assistant (Application Developer) at University of Illinois, Chicago (January 2015 – present) – Developed a J2EE application that allows the department to organize New Job postings, enables the HR Manager to view the New Hire details as well as the details of the interview conducted for various jobs. Implemented Java Beans and SOA in the application. Implemented Agile Software Development workflow. Database: MySQL – Optimized the database structure for efficient storage of information and faster retrieval – Google Analytics: Analyze the number of users visiting the page and most viewed pages in the website to identify the menu options which are most sought. – Developing an application for Helpdesk to maintain a record of the requests to the call center. Shibboleth authentication was provided to allow only the employees to access the application – Developed a tool to track the Employee Performance appraisals (EPR Tracking Tool) using PHP and MySQL – Currently working on redesigning the HR Website to ensure user friendly menu options • Data Analytics Intern at EMC 2 (November 2013-January 2014) – Worked on Big Data project “Data Driven Analytics for reduced power consumption “, correlating large dataset of sensor data from buildings using Hadoop in Hortonworks platform and Tableau. PROJECTS: Graduate Projects: • Distributed Inventory Management System: – A J2EE application to track the movement of products across suppliers and warehouses for a retail corporation using location based tracking and cloud services. – Different entities of the Inventory Management System are deployed in different containers of the Docker – Application was tested using JUnit and performance was measured using Apache JMeter Tools: Java, MongoDB, JUnit, MySQL, SOA Web Services, EJB • Airline Data Analysis and Visualization (Big Data): – A MEAN stack (MongoDB, ExpressJS, AngularJS, Node.js) application analyzes Airline On-Time performance massive dataset of 4GB size. AWS is exploited to store the huge data. – Prediction of Flight delay given an Itinerary - Scalable Machine Learning algorithm (Naïve Bayes Algorithm) library of Apache Mahout is used in Apache Hadoop for prediction. – Visualization – Insights like Best time of day to travel, Best carrier, State with most delay, Page Rank of airports are visualized using D3.js Tools: Java, Apache Hadoop Mapreduce, D3.js, Node.js, MongoDB, AngularJS, AWS EC2,S3
• Ontology Matching: – Find matching Class names and Property names of different ontologies (Web 2.0) in a conference dataset to enable integration of information – Achieved the highest accuracy of 75% amongst the peers Tools: Java, Jena API, protégé, Maven • Sentiment Analysis of Twitter Tweets: – Opinion mining and sentiment analysis of US election campaign 2012. – Identifying the sentiment of tweets about the presidential candidates Obama and Romney using various machine learning algorithm and POS tagging (Achieved highest accuracy among class peers) – Tools: Python, NLTK Algorithms: Naïve Bayes, SVM, Logistic Regression • Sequential Pattern Mining: – Implemented the minimum item support - Prefix span algorithm for discovering regularities between frequently co- occurring items given a dataset of transactions in a store. Tools: Python, NLTK Undergraduate Projects: • Fake Review Detection using SVM Classification: – Developed a web application that identifies deceptive reviews by crawling review and product details from e- commerce websites and also through user uploaded data files – Feature vectors are username of reviewers, Date and time of reviews, Pattern of reviews written by reviewers etc. – Improved the accuracy of review classification from 45% to 60% – Won the “TCS Best Project Award” for the project. Tools: Python, SQLite, Scrapy, NLTK • Highly confidential Security System: – A Spring Application implementing password manager through single sign-on allowing the clients to store sensitive information like bank account details, Login credentials, Personal photographs and videos – Ensures security using Asynchronous Encryption Algorithm (AES Algorithm) – Developed the project for the contest “The Great Mind Challenge”. – The team under my captaincy got selected among top 20 teams in the nation. Tools: Eclipse, IBM DB2, IBM WebSphere, Spring Application Framework PUBLICATION: – Paper “Indoor Navigation using Wi-Fi Triangulation using smart phones” published in “International Journal of Computer Application” – The claim proposed in the paper was supported through a Indoor Mobile Application that utilizes the inbuilt sensor of smartphones and API for indoor maps – ACHIEVEMENTS: ● Won the best project award from Tata Consultancy Services (TCS) for the project “Fake Review Detection” ● Selected among the top 20 teams to present the project “Highly Confidential Security System” for the contest “The Great Mind Challenge” organized by IBM ● Secured a position among the top 50 rank holders of the university in undergraduate studies. ● Organized the Computer Science National Level Technical Symposium as a “Principal coordinator”

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Resume-DivyaDuraisamy

  • 1. ddurai2@uic.edu DIVYA DURAISAMY 1021 S Racine avenue, coach house, (312)-721-4499 http://ddurai2.people.uic.edu/ Chicago, Illinois 60607 EDUCATION Master in Computer Science GPA: 3.6/4.0 Expected May 2016 University of Illinois, Chicago Bachelor of Engineering in Computer Science GPA: 8.52(Rank holder) Graduated May 2014 Anna University TECHNOLOGY SKILLS: Programming Languages: Java, Python Web Frontend Technologies: HTML, CSS, JavaScript, D3.js, AngularJS Standards and Frameworks: J2EE, Maven, PHP, RESTful, Node.js Databases: MySQL, SQLite3, MongoDB Big Data Technologies: Hadoop Mapreduce, Mahout, Hive EXPERIENCE: • Graduate Assistant (Application Developer) at University of Illinois, Chicago (January 2015 – present) – Developed a J2EE application that allows the department to organize New Job postings, enables the HR Manager to view the New Hire details as well as the details of the interview conducted for various jobs. Implemented Java Beans and SOA in the application. Implemented Agile Software Development workflow. Database: MySQL – Optimized the database structure for efficient storage of information and faster retrieval – Google Analytics: Analyze the number of users visiting the page and most viewed pages in the website to identify the menu options which are most sought. – Developing an application for Helpdesk to maintain a record of the requests to the call center. Shibboleth authentication was provided to allow only the employees to access the application – Developed a tool to track the Employee Performance appraisals (EPR Tracking Tool) using PHP and MySQL – Currently working on redesigning the HR Website to ensure user friendly menu options • Data Analytics Intern at EMC 2 (November 2013-January 2014) – Worked on Big Data project “Data Driven Analytics for reduced power consumption “, correlating large dataset of sensor data from buildings using Hadoop in Hortonworks platform and Tableau. PROJECTS: Graduate Projects: • Distributed Inventory Management System: – A J2EE application to track the movement of products across suppliers and warehouses for a retail corporation using location based tracking and cloud services. – Different entities of the Inventory Management System are deployed in different containers of the Docker – Application was tested using JUnit and performance was measured using Apache JMeter Tools: Java, MongoDB, JUnit, MySQL, SOA Web Services, EJB • Airline Data Analysis and Visualization (Big Data): – A MEAN stack (MongoDB, ExpressJS, AngularJS, Node.js) application analyzes Airline On-Time performance massive dataset of 4GB size. AWS is exploited to store the huge data. – Prediction of Flight delay given an Itinerary - Scalable Machine Learning algorithm (Naïve Bayes Algorithm) library of Apache Mahout is used in Apache Hadoop for prediction. – Visualization – Insights like Best time of day to travel, Best carrier, State with most delay, Page Rank of airports are visualized using D3.js Tools: Java, Apache Hadoop Mapreduce, D3.js, Node.js, MongoDB, AngularJS, AWS EC2,S3
  • 2. • Ontology Matching: – Find matching Class names and Property names of different ontologies (Web 2.0) in a conference dataset to enable integration of information – Achieved the highest accuracy of 75% amongst the peers Tools: Java, Jena API, protégé, Maven • Sentiment Analysis of Twitter Tweets: – Opinion mining and sentiment analysis of US election campaign 2012. – Identifying the sentiment of tweets about the presidential candidates Obama and Romney using various machine learning algorithm and POS tagging (Achieved highest accuracy among class peers) – Tools: Python, NLTK Algorithms: Naïve Bayes, SVM, Logistic Regression • Sequential Pattern Mining: – Implemented the minimum item support - Prefix span algorithm for discovering regularities between frequently co- occurring items given a dataset of transactions in a store. Tools: Python, NLTK Undergraduate Projects: • Fake Review Detection using SVM Classification: – Developed a web application that identifies deceptive reviews by crawling review and product details from e- commerce websites and also through user uploaded data files – Feature vectors are username of reviewers, Date and time of reviews, Pattern of reviews written by reviewers etc. – Improved the accuracy of review classification from 45% to 60% – Won the “TCS Best Project Award” for the project. Tools: Python, SQLite, Scrapy, NLTK • Highly confidential Security System: – A Spring Application implementing password manager through single sign-on allowing the clients to store sensitive information like bank account details, Login credentials, Personal photographs and videos – Ensures security using Asynchronous Encryption Algorithm (AES Algorithm) – Developed the project for the contest “The Great Mind Challenge”. – The team under my captaincy got selected among top 20 teams in the nation. Tools: Eclipse, IBM DB2, IBM WebSphere, Spring Application Framework PUBLICATION: – Paper “Indoor Navigation using Wi-Fi Triangulation using smart phones” published in “International Journal of Computer Application” – The claim proposed in the paper was supported through a Indoor Mobile Application that utilizes the inbuilt sensor of smartphones and API for indoor maps – ACHIEVEMENTS: ● Won the best project award from Tata Consultancy Services (TCS) for the project “Fake Review Detection” ● Selected among the top 20 teams to present the project “Highly Confidential Security System” for the contest “The Great Mind Challenge” organized by IBM ● Secured a position among the top 50 rank holders of the university in undergraduate studies. ● Organized the Computer Science National Level Technical Symposium as a “Principal coordinator”