Python, FullStack development

Rohith Varma Gaddam Email : ****************@*****.***

Mobile : +1-480-***-****

Education

Arizona State University Tempe, AZ

Master of Science in Software Engineering; GPA: 3.78 Aug. 2019 { May. 2021

National Institute of Technology Andhra Pradesh, India Bachelor of Technology in Computer Science and Engineering; GPA: 3 (6.5/10.0) Aug. 2015 { May. 2019 Experience

Babee Play Co. dba Katamundi(Internship-Captsone) Jan - Present worked on stack react js and django

working on user generated content creation suite like platform for creating posters in React js.

developing REST API and implementing database models for Content creation platform in Django Projects

Music Venues, Artists and Shows discovery Website summer 2020 Technologies used Python, Flask, SQLalchemy(ORM)

Fyyur is a musical venue and artist booking site that facilitates the discovery and bookings of shows between local performing artists and venues. This site lets you list new artists and venues, discover them, and list shows with artists as a venue owner.

Built the data models to power the API endpoints for the Fyyur site by connecting to a PostgreSQL database for storing, querying, and creating information about artists and venues on Fyyur

Compiler and Virtual Machine for a Programming Language(ACE) Apr 2020 Technologies used Python, PLY(Python Lex-Yacc)

Designed Grammar for all expressions(arithmetic, Boolean, logical) and function de nitions and calls

Developed evaluation of logical expressions, Boolean expressions, arithmetic expressions, and ternary operator from syntax tree

Developed execution of functions(supports recursion) and FOR loop(python syntax ) from syntax tree

Scratch Math Learning App Fall 2019

technologies used electronJs, javascript, HTML, CSS

Developed front-end for retrieving user history and posting math quiz

Developed front-end for getting student quizzes, quiz pages and grading

Home Team Winning Prediction in Cricket Fall 2017

Technologies used R

Web scraped the Data from howstat.com, preprocessed the data like removing unwanted attributes and dimensionality reduction using PCA.

Classi ed the data with existing classi cation techniques and predicted the wins and achieved accuracy of 83.3 using decision tree.

Programming Skills

Languages: Python, Java, C++, Javascript, SQL, HTML, CSS, R

Libraries: Pandas, Scikit-learn, PLY, React.js, fabric.js

Frameworks: Flask, Swing, Django

Tools: Git

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