Experience & Skills
Professional Experience
With experience in data science and web development, I've built AI-driven applications and data pipelines for real-world problems across financial services and energy sectors.

Undergraduate Research Assistant - Data Science
Florida Solar Energy Center (FSEC)
•2022–2023- •Enhanced data processing capabilities by integrating statistical analysis with machine learning algorithms,resulting in a 35% reduction in processing time across 1.5 million data points.
- •Conducted in-depth performance analyses of solar panels using predictive modeling and big data analytics, achieving a 30% increase in efficiency metrics under varying environmental conditions.
- •Developed and deployed automated scripts for time series analysis and model optimization, streamlining workflows that handled over 500GB of data weekly while improving model accuracy by 25%.
Data Engineering Intern – AIOps / MLOps
PwC
•Summer 2022- •Engineered advanced back-end data models within the Palantir Foundry platform, leveraging deep learning and neural networks to enhance data processing capabilities, achieving a 40% reduction in model training time across large datasets.
- •Developed and optimized scalable data structures utilizing Spark Python API for a leading Italian bank, resulting in a 30% improvement in data flow efficiency and significantly enhancing cloud computing performance for AI applications.
- •Implemented robust ETL pipelines to streamline data ingestion, transformation, and storage processes while maintaining high-quality standards; increased workflow efficiency by 25% and reduced error rates by 15% through meticulous database management with Oracle and Microsoft SQL Server.