James Goedmakers

I am a Data Scientist and PhD student in Computer Science at FAU, with an MS in AI and BS in CS. My main career and academic interests are in Data Science and AI Research. I have previously worked in positions with FAU, the Naval Information Warfare Center, and the Department of the Navy in Data Science and AI Research roles. I have a part time interest in health and fitness, having previously worked as a Trainer and Yoga Instructor. I also compete in collegiate and international athletics, and have achieved 1st place at the college national championship and 4th place at the world championship semifinals.

Education

PhD in Computer Science – Florida Atlantic University (GPA: 3.8/4.0) May 6, 2027

MS in Artificial Intelligence – Florida Atlantic University (GPA: 3.9/4.0) August 8, 2023

BS in Computer Science – Florida Atlantic University (GPA: 3.8/4.0) May 6, 2022




Experience

Data Scientist – NextEra Energy

December 2025 – Present | Fort Lauderdale, FL
Python, SQL, Excel, Dbeaver, Bash, C++, WSL, Tableau, AWS (Redshift, Sagemaker, Bedrock)

  • Queries and analyzes energy grid databases.
  • Trains machine learning models to predict energy infrastructure component behaviors such as EV Detection and EV charging load disaggregation.
  • Supports data system migration through dataset extraction, mapping, conversion, and validation.
  • Develops AI Agents to retrieve and interpret energy grid data.

Computer Scientist – Department of the Navy

April 2024 – October 2025 | Orlando, FL
MATLAB, Python, Bash, C++, SysML, HyperV, Red Hat Enterprise Linux

  • Installed and operated a linux virtual machine component of a Navy ASW trainer to generate and analyze acoustic datasets.
  • Developed software algorithms in MATLAB to incorporate additional detection functionality of underwater acoustic phenomena for deployment on Navy P8 ASW training systems.
  • Calculated and compiled key acoustic feature datasets from ASW systems to enable training and evaluation of machine learning models in order to increase prediction capabilities of Navy ASW systems.
  • Performed training system cold starts, system model reviews, software requirement document reviews, and contract research proposal technical reviews for source selection teams.

Research Intern – Naval Information Warfare Center

May 2023 – September 2023 | San Diego, CA
Python (Scikit-learn, Numpy, Pandas, Matplotlib), Jupyter

  • Generated target motion analysis scenario datasets using a Navy UAV simulator.
  • Trained machine learning models on scenario data to predict target range and optimal vessel maneuvers.
  • Presented and visualized development progress and experiment results to project team leads.

Research Assistant – Florida Atlantic University

May 2022 – May 2023 | Boca Raton, FL
Python (Numpy, Pandas, Matplotlib, Seaborn, PyTorch), Jupyter, Bash, HPC

  • Evaluated methods to optimize the video coding for machines (VCM) standard adopted by MPEG.
  • Developed Bash and Python scripts to pre-process image datasets and perform computer vision task evaluation using a cloud based High Performance Computing platform.
  • Communicates findings through presentations and data visualizations to the multimedia research team.


Skills

Languages: Python (Numpy, Pandas, Polars, Matplotlib, Plotly, Scikit-learn, TensorFlow, PyTorch, XGBoost, NLTK, RegEx, SQLite, PySpark) | SQL | MATLAB | C++ | Git | Bash | Java (OpenNLP) | HTML | CSS | JavaScript

Tools: VS Code | Jupyter | GitHub | Dbeaver | AWS (Redshift, Sagemaker, Bedrock) | Microsoft Office (Word, Powerpoint, Excel) | Cameo Systems Modeler | HyperV | Simulink | MCP | RAG | WEKA | Eclipse | Code Composer Studio | Brackets | MySQL | HPC | Violet UML | Apache NetBeans | VirtualBox | WSL | Jira | Confluence | Docker | LM Studio | Label Studio

Certifications: DoD Secret Security Clearance (4/22/2024) | IBM AI Engineering (In Progress) | IBM Data Science (12/14/2025) | DAU Engineering Technical Management (4/28/2025) | OMG SysML Fundamental Model Builder (9/27/2024) | OMG SysML Model User (8/23/2024) | Six Sigma Yellow Belt (In Progress) | NSF – Graduate Traineeship in Data Science Technologies and Applications (8/8/2023) | Yoga Alliance – RYT 200 Hour (12/10/2023) | AHA – CPR/AED (3/5/2022) | NASM – CPT (6/26/2022) | ARC – Shallow Water Lifeguard CPR and First Aid (12/30/2022)

Projects

Energy Data Science (NextEra Energy – Fall 2025) GitHub Link


Performed analysis on collected field data of deployed energy meters to identify data absences, anomalies, and feature relationships. Developed an algorithm to determine which energy meters are ideal for next-gen replacements while maximizing business value through incorporation of optimal selection metrics derived from meter features. Presented and illustrated findings to NextEra technical and executive team members.



SpaceX Data Science (IBM Data Science Professional Certification – Fall 2025) GitHub Link


Utilized REST API and webscraping to retreive, clean and compile SpaceX launch data into an organized dataset. Exploratory data analysis performed to derive insights, vizualize relationships, train machine learning classification models, and evaluate model performance in predicting spaceship launch success rates.



Foveation for Computer Vision (Digital Image Processing – Spring 2024) GitHub Link


Experimented with foveated image compression for improving efficiency while maintaining classification performance.



Network Intrusion Detection (Computer Data Security – Spring 2024) GitHub Link


Implemented a network intrusion prediction model using Python and Cybersecurity datasets.



Target Motion Analysis (Naval Information Warfare Center – Summer 2023) GitHub Link


Developed and tested target range prediction models using UAV simulation data.



Encryption Algorithms (Aspects of Modern Cryptography - Spring 2023) GitHub Link


Implemented public and private key encryption algorithms including DES and ElGamal using C++.



Recommendation Systems (Advanced Internet Systems - Spring 2023) GitHub Link


Implemented a content-based media recommendation system in Python.

Coursework

Digital Image Processing | Computer Data Security | Data Mining and Machine Learning | Reinforcement Learning | Software Engineering | Computer Performance Modeling | Practical Aspects of Modern Cryptography | Advanced Internet Systems | Natural Language Processing | AI in Medicine | Deep Learning | Information Retrieval | Artificial Intelligence | Intro to Data Science | Computational Foundations of AI | Object-Oriented Design and Programming | Principles of Software Engineering | Engineering Design | Intro to Artificial Intelligence | Python Programming | Computer Operating Systems | Intro to Data Communications | Intro to Database Structures | Design/Analysis of Algorithms | Form Lang & Auto Theory | Intro to Internet Computing | Intro to Microprocessor Systems | Stochastic Models for CS | Data Structure/Algorithm Analysis | Introduction to Logic Design | Foundations of Computer Science | Introduction to Programming in C | Introduction to Program Logic | Microcomputer Applications

Involvement

Vice President, Athlete – FAU Cheer Club

Fall 2022 – Present
Achieved 1st place at the 2026 NCA College Cheer National Championship and 4th place at the 2025 cheer world championship semifinals.

STEM Scholar – FAU NSF STEM Scholars Program

Fall 2021 – Fall 2024
Completed an NSF funded program to introduce distinguished students to careers in AI. Served as a panelist to share program outcomes and insights to congressional staff members in Washington DC.

SMART Scholar – US Department of Defense

Spring 2024 – Fall 2024
Awardee for the DOD SMART Scholar program which funds distinguished students involved in federal employment.

Board Member – FAU Campus Recreation Advisory Board

Fall 2023 – Spring 2024
Served on a board comprised of students and FAU faculty managing all campus recreation activities and budget.

Vice Chair - FAU Sport Club Council

Fall 2023 – Spring 2024
Assisted in the management and oversight of all sport club programs at FAU. Increased the sport club program budget by approximately 50% through the usage of university reimbursement programs.

Founder and President – FAU Weightlifting Club

Fall 2022 – Spring 2024
Coordinated all club processes for the FAU Weightlifting Club including club formation and official registration.

Research Cohort Member – FAU NSF NRT Program

Summer 2022 – Fall 2023
Participated in an NSF funded cohort of graduate students that engage in academic research and entrepreneurship.


About

...