Priya Gupta

Masters in Data Science

September 2023 - December 2024

Relevant Coursework

• Stastics & Probability
• Artifical Intelligence
• Machine Learning
• Big Data

B.Tech. in Computer Engineering

June 2019 - May 2023

Relevant Coursework

• Database Management Systems
• Algorithms
• Data Structure
• Computer Vision

LiveGood

October 2024 - December 2024

Machine Learning Research Intern

• Designed a data analysis framework for centenarian demographics and quality of life trends, using Pandas for preprocessing and Matplotlib/Seaborn for visualization.
• Applied K-means clustering to uncover key health patterns and implemented Bayesian Hierarchical Modeling to predict longevity determinants.
• Built and evaluated ML models (Random Forest, XGBoost) to assess disease resistance, achieving high accuracy on health correlation metrics.
• Developed a health recommendation system using collaborative filtering, providing personalized lifestyle advice based on centenarian data patterns.
• Delivered actionable insights via an interactive Tableau dashboard, visualizing longevity scores and health trends.

UCI Health

June 2024 - September 2024

Data Science Research Intern

• Migrated a legacy Microsoft Access database to AWS RDS, leveraging a scalable, serverless architecture with AWS Lambda and API Gateway, resulting in a 70% improvement in accessibility, performance, and reliability.
• Enhanced data processing efficiency by streamlining ETL pipelines using SQL, Python, and AWS tools, achieving a 50% boost in processing speed and 40% reduction in latency.
• Developed a Long Short-Term Memory (LSTM) model in AWS SageMaker to analyze patient records and predict outcomes, achieving a 30% increase in predictive accuracy.
• Automated model deployment through a CI/CD pipeline with GitHub Actions, ensuring version control and seamless updates.

RedShift Racing India (KJSCE)

Dec 2021 - Dec 2022

Full Stack Developer

• Rebuilt the team’s official website using HTML, CSS, and JavaScript, reducing load time by 70% and modernizing the design to improve user experience and attract sponsors.
• Refactored the legacy codebase into a modular, maintainable structure, implemented responsive design, and performed cross-browser testing to ensure consistent performance across devices and platforms.
• Managed end-to-end website content lifecycle—including adding announcements, competition highlights, media galleries, technical documentation, and team structure updates—while overseeing deployment, version control, and uptime via GoDaddy’s hosting infrastructure.
• Mentored junior developers by creating comprehensive documentation, reviewing their code, and guiding them through site updates to ensure a smooth knowledge transition and long-term maintainability.

Olivares Lab - UCI

Jan 2024 - December 2024

Graduate Research Assistant

• Spearheaded the processing and transformation of environmental datasets using Python and ArcGIS, ensuring high-quality data for PFAS contamination studies.
• Developed machine learning models with Autoencoders and TensorFlow to analyze and visualize PFAS distribution trends effectively.
• Engineered high-resolution geospatial matrices and layers, improving the lab’s ability to conduct detailed environmental analysis.
• Conducted geospatial analytics to integrate diverse datasets and uncover hidden patterns in PFAS contamination.
• Collaborated with a multidisciplinary team to align machine learning techniques with environmental research objectives.

Programming Languages and Tools

Data Science & Machine Learning

Machine Learning Deep Learning Generative AI

Database & Data Engineering

Business Intelligence & Statistical Analysis