Abhiram Bharatham 6015 Meyers Park Suwanee, GA 30024 470-302-6840 abhiram2712@gmail.com EDUCATION: Georgia Institute of Technology, Atlanta, GA Expected Graduation: December 2022 Bachelor of Science, Computer Science Minor: IT Management GPA: 4.0 Relevant Courses: Object-Oriented Programming, Objects and Design, Computer Systems and Networks, Computer Organization and Programming, Advanced Statistics, Design and Analysis of Algorithms, Combinatorics, Linear Algebra, Data Structures and Algorithms, Machine Learning, Artificial Intelligence, Automata and Complexity Languages / Frameworks: Python, C++, React.js, Java, HTML, SQL, PySpark, JavaFx, Agile, Assembly, UM, REST, Docker, Git, Spring Boot, NodeJS, AWS Lambert High School, Suwanee, GA Graduated May 2020 ● Top 2% of the graduating class, National Honor Society, National AP Scholar RELEVANT EXPERIENCE: Georgia Institute of Technology, Atlanta, GA , Software Developer November 2021 - Present ● Developed the front-end and back-end for the Georgia Tech Capstone program using JavaScript, HTML, and the Infinite Blue Platform ● Implemented web features to enhance the user experience for 2500 users by streamlining workflows and adding enhancements AT&T, Atlanta, GA, Software Engineering Intern May 2021-August 2021 ● Built a scheduling application using MongoDB, React, and NodeJS, optimizing job tickets for field technicians by 12%. ● Used applications within Palantir Foundry to clean data and create fusion tables/forms improving the usability and speed of data processing by 40% for members of the disaster recovery team. ● Designed and developed Power BI graphical and visualization solutions depicting critical KPIs for multiple departments. ● Increased team productivity and improved visibility for employees by creating a web application using React and Power BI to embed analytics and reports. Cisco Systems, Atlanta, GA, Information Technology Intern July 2019 - March 2020 ● Tasked with analyzing and reporting on campaign performance across all agency verticals using applications within salesforce, improved customer hit rate by 30%. ● Created a python script and other applications in Salesforce and Google Analytics to monitor and calculate performance statistics about customer hit rates to decrease response times and resolve bottlenecks in the business. ● Researched a multitude of cloud-based technologies to evaluate usability and documentation for multiple teams throughout the company. PROJECTS: ● Automotive LiDAR Research GTRI: Part of the software development team working on optimizing the navigational stack algorithms and the robot localization package using ROS. ● Credit Card Fraud Detection Model: Implemented random forest and decision tree models that identify fraudulent transactions with 94% accuracy. Utilized data parsing and PCA to reduce the dimensionality of the dataset.