Harshitha Vedagiri

Email: adgts4@r.postjobfree.com Contact: 657-***-****

GitHub: https://github.com/HarshithaVedagiri Address: CA, USA LinkedIn: www.linkedin.com/in/harshithavedagiri

PROFESSIONAL SUMMARY

• An enthusiastic software engineer who is a web developer with 6 months of front-end experience for responsive website design and capable to use technical skills for the betterment of the organization.

• Worked on agile development and have deep understanding of Software Development Life Cycle.

• Currently working on unfortunate spreading of the current pandemic by building COVID-19 Tracker/Stats Application using React JS (Hooks, Material UI, Charts js).

EDUCATION

M.S. Computer Science, California State University Fullerton Expected May 2021 B.S in Computer Science, Visvesvaraya Technological University 2014 -2018 TECHNICAL SKILLS

Programming Language: Java Script, HTML5, CSS3, Java, Python

Operating Systems: Linux, Windows OS

Software Packages: React JS, jQuery, Bootstrap, Sass, Angular 8

Platform: MS Office Word/ Excel/ Visual Studio/ Power Point Database: MySQL

PROFESSIONAL EXPERIENCE

Lufthansa Technik Services India (internship) 2018 -2019

• Revamping the UI, mobile applications and landing pages for multiple projects in Lufthansa airlines.

• Designed, Implemented and maintained the customer facing portal for Lufthansa Technik Services.

• Created REST APIs in Java to support the legacy application

• Completely involved in the end to end testing of the application. RELATED EXPERIENCE

Analysis and Prediction of Students Performance using Machine Learning Algorithms 2019

• Leveraged Machine Learning to analyse and predict student performance using the data provided by the faculty in their courses to help both student and faculty to know the performance of each individual.

• Python with the support of Jupyter Notebook is used to keep track of student academic performance.

• In order to determine the efficient algorithm, all the four classifiers namely SVM, Random Forest, Decision Tree and Logistic Regression were implemented and compared. As a result, Logistic Regression proved to be more efficient.

• Predicted students’ performance with an accuracy of 91.67%. Flight Reservation System 2020

• The system focuses on Flight reservation, with Online Check-in feature and it support Utility Layer for sending emails.

• Developed a web application to meet user requirements using Angular 8, Spring MVC and Maven.

• Implemented components like Register/Login, Flight-List, Booking, Payment Method, Booking-History and Feedback using Angular 8, which provides better interactivity and user experience for the customers. PROFESSIONAL TRAINING AND CERTIFICATIONS

• Udemy – Modern React (2020)

• Udemy – The Complete 2020 Web Development Course

• Microsoft – Programming in JAVA

• Udemy – Machine Learning, Data Science with Python

• Udemy – The python Bible

PROFESIONALITY TRAILS

• A genuine desire to achieve, excel and evolve.

• Confident, articulate, and professional speaking abilities.

• Enjoy working as a team member as well as independently.

• Strong interpersonal communication, problem-solving and decision-making skills.

• Can easily adapt to new technologies.

Contact this candidate