Paul Jacob Email & Phone Number

• Collaborated with 40+ team members to map seagrass from satellite imagery and georeference data
• Programmed U-net architecture to achieve seagrass pixel classification accuracy 27% higher than standard

• Designed an ETL pipeline to produce a clean, validated, and extracted insights
• Implemented advanced social network analysis and feature engineering techniques in random forest time series prediction
• Programmed machine learning model and policy in Python that exceeded standard accuracy by up to 20%
• Produced interpretable presentations and visualizations of statistically complex concepts for audiences of 25+ members of varying technical ability

• Developed power and lighting plans using AutoCAD and Revit, ensuring precision and adherence to industry standards
• Executed on-site visits for surveys, providing valuable insights and recommendations for effective issue resolution
• Engineered lighting layouts and circuit designs with a focus on optimizing functionality and efficiency
• Utilized modeling techniques to analyze lighting illuminance
• Specified luminaires for optimal performance and energy efficiency

• Synthesized a prototype avionics data acquisition system for a sounding rocket utilizing Debian Linux on a BeagleBone Black single-board computer (SBC) and MEMS sensors
• Optimized compiling processes by cross-compiling from a Debian Linux virtual machine shell terminal to the SBC, resulting in a greater than 50% reduction in compilation time
• Conducted thorough testing of various sensors, including those for orientation, pressure, fuel level, and location
• Successfully achieved cost savings by leveraging commercial off-the-shelf parts and managed to complete the project 30% under budget

Bachelor’S Degree, Electrical Engineering

Data Science Career Track

• 550+ hours of hands-on curriculum related to Python, SQL, and Predictive Modeling, as well as completion of 2 in-depth capstone projects.