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.

Florida Solar Energy Center (FSEC) logo

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%.
PwC logo

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.

Technical Skills