UnderGraduate Research Assistant - Data Scientist

Florida Solar Energy Center

October 2022 - July 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%.
  • Led a team of 3 in developing a machine learning model for solar energy prediction
  • Improved data processing efficiency by 30% through optimized algorithms
  • Presented findings at two internal conferences, receiving positive feedback

Data Engineer | MLOps & AIOps

PwC

May 2022 - Jul 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.
  • Implemented automated ML pipelines, reducing model deployment time by 30%
  • Collaborated with cross-functional teams to integrate AI solutions into existing systems
  • Contributed to a white paper on emerging trends in AIOps

Data Analyst

Edizioni Lalbero

Jul 2020 - Aug 2020

  • Leveraged consumer data to uncover market trends, fueling strategic editorial and marketing initiatives.
  • Crafted dynamic dashboards and visualizations, enabling real-time KPI tracking and data-driven decisions
  • Deployed predictive analytics to forecast sales and reader behavior, optimizing inventory and boosting ROI.
  • Developed a data visualization dashboard that improved client reporting efficiency by 25%
  • Implemented data quality checks that reduced errors in financial reports by 15%