Dedeepya Chintaparthi

*** ****** ***** *****, ********* O, Charlotte, North Carolina, 28262

Email: adcrel@r.postjobfree.com GitHub: https://github.com/dedeepya42 Contact No: +1-704-***-**** LinkedIn Profile: www.linkedin.com/in/dedeepya-chintaparthi-b4015057 EDUCATION:

Master of Science in Computer Science May 2020

University of North Carolina at Charlotte, Charlotte, NC GPA: 4.0/4.0 Bachelor of Engineering in Information and Communication Technology May 2013 SASTRA University, Tanjore, Tamilnadu, India GPA: 8.76/10 TECHNICAL SKILLS:

Programming Languages: Java, Spring MVC, Python

Web Technologies: HTML5, CSS3, Java Script, Node.js, Express Js Visualization Tools: Tableau

Database: MySQL, MongoDB

Other Tools: Jira, Linux, HP Quality Center, WEKA, Lisp Miner, XL Miner PROFESSIONAL EXPERIENCE:

HCL Technologies Ltd, Hyderabad, India July 2014 – Dec 2017 Senior Software Engineer

• Worked as a JAVA engineer, for the client GTECH/IGT (International Gaming Technology) for the following projects:

GTECH Online Lottery – Virginia Conversion Project

GTECH Online Lottery – Washington Conversion Project

Online Lottery – Kentucky Site

• Acquired sound knowledge of Agile Methodology through 3 years of hands-on experience.

• My responsibilities include Requirement gathering, Analysis, Providing estimates, Design and development, Integration testing, fixing bugs and deployment. ACADEMIC PROJECTS:

Dear Pregnant Mom Web Application Aug 2019 – Dec 2019 Developed a web application which allows users to create events for the pregnant women. Users can also manage the events by creating the new events, deleting the events and also updating them. Technologies used are HTML5, CSS, Node JS, Express and MongoDB (NOSQL) with MVC architecture. This application was developed individually.

Fragile State Index Analysis Aug 2019 – Dec 2019

Performed analysis on the Fragile State Index dataset by adding three new features to the dataset. Used WEKA tool for running the models and used LISP Miner for extracting action rules from the dataset. Google Play Store App Analysis Jan 2019 – May 2019 As part of Big Data Analytics course, used XL Miner to perform analysis on the Google play store apps dataset from Kaggle. Models like Multiple Linear Regression, Regression Tree, Classification Tree etc. are used for the analysis. Emotion Detection from Text Aug 2018 – Dec 2018

This project is part of Natural Language processing course. ISEAR dataset is used for detecting the emotions from the text. Initially, basic pre-processing like Tokenization, removing punctuation etc. is done on the data set and then Naïve Bayes and SVM Models are used for training the data. Finally, the metrics are analyzed using the classification reports and accuracy of the models. Domestic Airlines Reservation System Aug 2018 – Dec 2018 A database for Domestic Airlines reservation system is developed using MySQL. A user interface is developed so that the user can interact with the application. In this system, there are two users namely Guest and Registered User. Registered user will be able to check the availability of flights, book a flight, cancel and re-schedule the tickets.