Machine Learning Computer Science

Ramya Bandla

Dallas, Texas • ad5q93@r.postjobfree.com • 979-***-**** • linkedin.com/in/srk-bandla • github.com/SaiRamyaKamali EDUCATION

Texas A&M University, College Station, Texas Aug 2021 - Dec 2023 Master of Science in Computer Science GPA: 3.7

Relevant coursework: Software Engineering, Machine Learning, Operating Systems, Analysis of Algorithms, Deep Learning, Data Mining and Analysis, Parallel Computing, NLP Foundations and Tech Sikkim Manipal Institute of Technology, Sikkim, India Jun 2017 - May 2021 Bachelor of Technology in Computer Science GPA: 4.0 TECHNICAL SKILLS

Languages: Python, JavaScript, Java, C, C++, CSS3, HTML5, PHP, SQL, TypeScript Databases: MongoDB (NoSQL), MySQL, Firebase, AWS RDS, PostgreSQL Frameworks: Bootstrap, Node.js, AngularJS, React.js, Next.js, AWS, Express.js, Spring Boot, Tailwind Machine Learning: Scikit-learn, NumPy, Pandas, Keras, pySpark, Streamlit Tools: Git, VSCode, Eclipse, Heroku, Excel, Android Studio, Asana, Selenium Testing, JEST Other Skills: JIRA, Agile/Hybrid Methodology, SDLC, CI/CD, Docker, Kubernetes PROFESSIONAL EXPERIENCE

Copart – Software Engineer Oct 2023 to Current – Dallas, TX

• Designed and developed responsive and interactive web applications using React, SASS, Redux Saga, jotai, and Webpack.

• Developed new custom UI for Copart's Component Library and added new functionality to existing UI.

• Implemented new features into Copart’s core applications, resulting in a 30% improvement in application responsiveness.

• Migrated from the legacy class Components to Functional Components and refactored the applications for better rendering that reduced the website load time from 7 seconds to less than 2 seconds. Learn mutiny - Full Stack Developer May 2023 to Oct 2023 – Atlanta, GA

• Developed a responsive landing page and user-facing application with ReactJS, REST APIs, OAuth2.0, Tailwind CSS and managed state efficiently applying Redux, improvising website traffic, brand visibility and user engagement by 30%.

• Implemented advanced user registration and storage functionalities on Firebase for beta launch and leveraged SendGrid API service to send personalized emails to registered users, accomplishing a significant 20% improvement in user retention.

• Innovated Chrome extension feature integrating content scripts and background scripts, helping user productivity by 25%.

• Architected a robust backend infrastructure using Django encompassing user models and API views, ensuring efficient data processing and seamless frontend-backend communication, culminating in a 40% reduction in API response time.

• Spearheaded data management through MySQL as database system, executing Django views for seamless retrieval and storage, bolstering platform reliability and enriched database performance. Texas A&M University - Web Developer Aug 2022 to Apr 2023 – College Station, TX

• Collaborated with team of 5 to Redesign, develop, and maintain departmental web pages, leveraging Cascade CMS to resolve website issues, resulting in a significant 31% increase in user satisfaction from remodeled website design and performance.

• Led team of 5 developers to monitor and analyze web-related statistics utilizing data analysis techniques to identify trends in user behavior and preferences, leading to service optimization and a significant 25% increase in daily active users (DAU).

• Amplified university's online presence by 40% by development of three official university-sponsored websites with modern JavaScript frameworks, HTML5, CSS3, and Bootstrap. Ensured accessible and user-friendly interfaces. Tech Mahindra - Software Developer Jan 2021 to Jul 2021 – India

• Revamped flight tracking application using Java, Spring Boot, and Kafka Streams, reducing data processing latency by 40%.

• Developed a ReactJS-based user interface for real-time flight data visualization with seamless Kafka stream updates.

• Collaborated with cross-functional teams to establish Jenkins CI/CD pipeline integration with GitHub, automating build, test, and deployment processes. Slashed deployment time by 70% and enabled multiple releases per day.

• Facilitated application containerization with Docker for consistent deployment across diverse environments and orchestrated it on AWS-based Kubernetes cluster for seamless scalability, achieving 99.9% uptime. PROJECTS

Task Tracker Full Stack Web Application (Redux, React Hooks, Restful Services, NodeJS). Mar 2023 - Apr 2023

• Built a MERN stack task tracker app through modern ReactJS for frontend, Express for efficient and secure communication between front end and backend; MongoDB schema and Mongoose-powered CRUD operations for efficient task management. Data Science Web Application (Python, Streamlit, Web Scraping, Heroku). Mar 2022 - Apr 2022

• Developed a Python Streamlit-based web application for interactive analysis of cryptocurrency trends through web scraping, offering users valuable insights for informed decision-making in the crypto market. Post Disaster Damage Assessment of Buildings (Python, Feature Extraction, GNU Octave). Jan 2021 - Jun 2021

• Classified Satellite images of damaged and undamaged buildings employing feature extraction techniques and Machine learning based classifiers, facilitating quicker identification and response to earthquakes for an elevated level of disaster management.

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