Aishwarya Ramesh

Master of Science, Computer Science

(GPA: 3.65 / 4.00)

2022 - 2024

Old Dominion University, Norfolk, VA

Relevant Coursework: Python Application Programming Internet of Things Big Data Analytics Software Development Life Cycle (SDLC) C (Programming Language) C++ Database Management System (DBMS) Java SQL HTML Data Structures Software Testing Data Communications Operating Systems Web Technology Machine Learning Software Architecture Computer Networks .Net framework for application development.

Bachelor of Engineering, Information Science and Engineering

(GPA: 6.65 / 10.00)

2016 - 2020

Visveswaraya Technological University, Bangalore, India

Relevant Coursework: Algorithms and Data Structures Computer Architecture Data Visualization Database Concepts Malware Anal and Reverse Engineering Natural Language Processing Web Programming Human Computer Interactions Introduction to Networks Foundations of Computing.

Volunteer Software Engineer

2024 - Present

One Community Global, Los Angeles, CA

• Maintained internal and external software solutions to streamline operations and foster collaboration for One Community, using a tech stack comprising Node.js (Express), React, Redux, Reactstrap, and MongoDB.
• Implemented features for workforce monitoring, project and materials tracking, event management, participation tracking, educational program development, and collaborative decision-making processes.
• Managed CI/CD pipelines through CircleCI, with logging via Sentry.io, deploying on Heroku, and scaling production on Azure, ensuring high reliability and performance.
• Conducted code reviews and PR reviews for contributions from within the team and from the firm’s inner source contributors. Conducted rigorous unit and snapshot testing, reducing bugs by 40% and ensuring consistent delivery of high-quality software.

Software Developer - Research Assistant

2023 - 2024

Applied Research Lab - Old Dominion University, Norfolk, VA

• Led the development of a cloud-based web app on AWS using React.js, Node.js/Express.js, SQL, and Microservices. Implemented data visualization and dashboards, boosting user engagement by 40% and reducing data analysis time by 25%.
• Created interactive dashboards using Tableau and Power BI, increasing data accessibility and interpretation by 25%. Analysed key business metrics and trends by designing and optimizing data models in Power BI, enhancing reporting efficiency and reducing report generation time by 30%.
• Developed and maintained complex SQL queries to generate reports and insights for business intelligence, leading to a 15% improvement in decision-making accuracy. Conducted sentiment analysis on customer reviews of breweries using text summarization techniques, achieving 90% accuracy in sentiment classification.

Engineer I

2020 - 2022

Infosys, Bangalore, India

• Developed and deployed a real-time ETL pipeline using Python, SQL, AWS Kinesis, and AWS Lambda, processing over 10 million records daily with sub-second latency, resulting in a 30% reduction in data processing time for critical business operations.
• Architected and implemented serverless ETL workflows leveraging Python for data transformation and Java for processing, using AWS Glue and Redshift. This system handled 20 million records daily across XML, JSON, and CSV formats, reducing processing time by 50% and improving data accuracy by 15%.
• Mastered advanced SQL and window functions to optimize queries and enhance data analysis, improving performance by 25% and deriving deeper insights. Leveraged advanced Excel functions, such as VLOOKUP, INDEX-MATCH, and pivot tables, to analyse large datasets, automate reporting, and streamline data-driven decision-making processes, resulting in a 20% improvement in data accuracy and efficiency.