Jet Propulsion Laboratory
Data Analytics Intern
February 2023 — July 2024
Role Overview
Served as a Data Analytics Intern at NASA's Jet Propulsion Laboratory, working with satellite oceanography data from the SWOT (Surface Water and Ocean Topography) mission. Led analytical efforts to identify sea surface temperature anomalies and characterize rising coastal temperatures at the Florida coast.
Key Responsibilities
- Parsed through dozens of granules, each with 54,000 data points, to identify sea surface temperature anomalies
- Detailed accessibility challenges in extracting data from NASA's PO.DAAC repository in Jupyter Notebooks
- Led analytical efforts to understand anomalies in rising climate temperature at the coast of Florida
- Developed automated pipelines for processing and visualizing large-scale oceanographic datasets
Mission: SWOT
The Surface Water and Ocean Topography (SWOT) satellite mission, a joint NASA/CNES project, provides high-resolution measurements of ocean surface topography, sea surface temperature, and water levels globally. Analysis focused on SST anomaly detection and climate trend identification in Florida coastal waters.
Data & Tools
- NASA PO.DAAC — Physical Oceanography Distributed Active Archive Center data access
- Python — data parsing, processing, and statistical analysis
- Jupyter Notebooks — interactive analysis and documentation
- 54,000+ data points per granule — large-scale data processing pipelines