Riddhi Vyas | Software Engineer (Focused in Data Analysis)

Riddhi Vyas

Software Engineer (Focused in Data Analysis)

Based in San Jose

About

As a Master’s student in Data Analytics at San Jose State University, I integrated data analysis tasks into my software engineering role in India, where I worked for 3 years. I developed a web application boosting recruitment efficiency by 25% through real-time data visualization and led a project improving retail operations by 30%. Currently, in my Master’s program, I continue to build scalable data pipelines, engineer data models, and leverage advanced analytics with tools like Python, SQL, Spark, and various cloud technologies to drive business insights and address complex challenges. My motivation lies in harnessing the power of data to solve real-world problems and drive business innovation, and I am eager to apply my skills to contribute effectively in a data-centric role.

Skills

Projects

Amazon Bin Object Classification using CLIP from OpenAI

This project improves inventory management in Amazon's robotic warehouses using image processing and the CLIP model for classification. The aim is to accurately identify the number of items in bins, enhancing order fulfillment. CLIP, combined with image enhancement techniques, achieves good accuracy

Real-time Crypto-Arbitrage Analysis using Big Data Technologies

In the realm of cryptocurrency, where exchange prices fluctuate, I tried to leverage real-time market data to identify arbitrage opportunities. Project involves streaming and analyzing cryptocurrency data to create a dashboard that continuously scans platforms for arbitrage chances.

Experience

2020-2023

Software Engineer (Focused in Data Analysis)

After completing my bachelor’s degree, I spent 3 years as a Software Engineer in India, specializing in Data Analysis. I collaborated with clients, led end-to-end software development, and mentored interns. Integrating data analysis, I cleaned data, developed a recruitment web app with real-time Tableau visualization, improving efficiency by 25%. I also led a project for a UK electronics retailer, enhancing efficiency by 30% through cross-functional collaboration.

Education

2023-2025 (Expected)

MS In Data Analytics at San Jose State University

Relevant Courses: Data Visualization, Database Systems for Analytics, Mathematical Methods for Analysis, Big data Technologies and Applications, Machine Learning Technologies, Data Analysis Processes, Data Mining, Deep Learning Technologies

2016-2020

BE in Computer Engineering at Gujarat Technological University

Relevant Courses: Computer Programming, Data Structures & Algorithms, Database Management, Artificial Intelligence, Operating Systems, Software Engineering.