LIKHITHA NANDA

https://www.linkedin.com/in/likhitha-nanda-778991112/ 682-***-****

ac6e56@r.postjobfree.com https://github.com/likhithananda EDUCATION

The University of Texas, Dallas Aug 2016 – May 2018 Master’s in Computer Science (Data Science) GPA: 3.60/4.0 GITAM University, India Jun 2012 – May 2016

Bachelor’s in Computer Science GPA: 8.5/10.0

RELEVANT COURSEWORK

Design and Analysis of Algorithms Big Data Management Data Structuresm Machine Learning Object Oriented Analysis and Design Web Programming Languages Database Design Computer Vision Statistical Learning with R. CERTIFICATION

Recognized as Microsoft Technology Associate in Database Fundamentals May 2015 Underwent ITIL training during my internship at CHEP Jan 2018 TECHNICAL SKILLS:

• Languages : Java, SQL, C++, C#, Python, PySpark, R, Hive and MongoDB

• Frameworks : Swing, Hibernate, Struts, Spring Boot, Hadoop, Ruby on Rails

• Other : HTML, CSS, SASS, JavaScript, Angular 2, PHP, AJAX, JSP, jQuery, Azure, .NET, RESTful services. Areas of Expertise

Data Structures Java Machine Learning Spark R SQL Web Services CORPORATE EXPERIENCE:

Application Analyst Intern, CHEP USA Inc., Orlando, FL May 2017 – May 2018

• Played a role of Web Content Administrator and developed solutions for maintaining company website www.chep.com.

• Built web pages using Drupal CMS, wrote efficient test cases, performed unit testing and helped in launching the site for various domains (Australia, Ireland, India, Saudi Arabia etc.,) and provided weekend support for go-live.

• Worked as a Web Application Developer to build an Angular2 application that maintains a record of our suppliers on the Microsoft SQL Server and allows us to perform Create, Read, Update and Delete operations on the list in an Agile environment.

• Developed, maintained and deployed web applications to Dev, Test and Prod environments in Azure cloud.

• Worked on tools like Git for version control, Visual Studio for building applications and Jira for project management. Software Developer Intern, Shreyanshi Technologies Pvt. Ltd., Hyderabad, India May 2015 – Jun 2016

• Worked as a Software Developer on “Online Bus-Ticket Reservation System” project and various other Java projects.

• Developed Java applications to retrieve the data by analyzing data patterns using Machine Learning techniques.

• Responsibilities also include building applications and debugging activities in the software development life-cycle. Also worked on J2EE technologies like hibernate and struts.

ACADEMIC PROJECTS:

Analysis of Two Sigma Connect- Rental Listing Inquiries [PySpark, Python, Scala, MLlib,] 2018

• In this Apache Spark project, we predicted how popular an apartment rental listing is based on the listing content (text description, photos etc.,) for renthop.com data.

• We used SVM, Random Forest and Decision Tree classifiers to predict the apartment’s popularity.

• Implemented the above algorithms using PySpark’s MLlib library and compared the results obtained. Titanic- Machine Learning from Disaster [Machine Learning Algorithms, R, Python] 2017

• Built SVM, Random Forest and K-NN classifiers for the data available on www.kaggle.com to predict the survival of the passengers. We also found correlation between attributes to determine more relevant features.

• We calculated the performance for each classifier and compared the results using precision, recall and F-measure. Online Course Registration System [JavaScript, PHP, MySQL, Bootstrap, RESTful services] 2017

• Developed a student course registration system project which allows the students to register for a program.

• It also allows them to add or drop courses and restricts them from enrolling for more than 3 courses in a semester. Ticket to Ride [C++, UML, GRASP principles, GoF Design Patterns, Agile Methodologies] 2016

• Worked on a Software Development project on a desktop playable version of a popular board game, Ticket to Ride. The existing game is scaled for ten players and new gameplay elements have been added.

• Implemented GoF design patterns and used Agile methodologies as Software development approach.

Contact this candidate