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.