Hi, I'm Craig Droke

Associate Data Scientist | Exelon

Transforming data into actionable insights through advanced analytics, AI/ML, and automation. Passionate about revolutionizing operations through innovative data solutions.

Craig Droke

About Me

I am a motivated, knowledgeable, and creative person that seeks to improve the world around me. I take pride in my ability to lead technical groups and solve problems of any nature. I am a graduate from Rowan University where I obtained a bachelors degree in Electrical and Computer Engineering with a minor in Computer Science in May of 2025. My interests are in big data analysis, AI/ML, embedded systems, and power systems.

I have achieved several awards and/or honors in the past that have helped to define my character. In 2019, I obtained the rank of Eagle Scout from the Boy Scouts of America. Subsequently, I was awarded the Eagle Scout of the Year Award by the Garden State Council. I am immensely appreciative of the skills and life lessons I learned while apart of the great organization. In 2022, as an intern I was selected to participate in Lockheed Martin's Project Pathways Program, where the focus was on 5G technology. This was given by MathWorks professionals. In 2024, I was given the IEEE Student Leader of the Year award by the Southern New Jersey Professional Societies. Lastly, in 2025, I was awarded the C. Ernest O'Neal Medallion Award for Electrical and Computer Engineering at Rowan University. This is the highest award available to undergraduate students. It showcased my dedication to service to the department and it's students as well as educational excellence.

When I'm not at work, you can find me exploring new technologies, and continuously expanding my knowledge in the fields of data science, AI/ML, and engineering. Many of my projects can be found below and on my GitHub page.

Education

Bachelor of Science in Electrical and Computer Engineering from Rowan University. Minor in Computer Science.

Experience

Associate Data Scientist at Exelon, with previous internships at Lockheed Martin and Exelon.

Interests

Big data analysis, AI/ML, embedded systems, and power systems.

Goals

Make the world more resilient through data analysis and innovative hardware/software solutions.

Technical Skills

Programming Languages

Python80%
Java80%
MATLAB80%
SQL80%
C++60%
JavaScript50%
C30%

Data Science & ML

PyTorch
Pandas
Statistical Analysis
AI/ML
Deep Learning
Reinforcement Learning
Agentic Orchestration
Computer Vision
CUDA

Tools & Platforms

Git
Jupyter
VS Code
Docker
Web Development
Azure
Raspberry Pi

Featured Projects

Project 250

Open Source

250 years after 1776, most Americans could name 100 celebrities before 5 congressmen. Project 250 exists to close that gap: teach how government is supposed to work, show how it actually works, and give citizens the primary sources to check both. Users can learn the fundamentals of civics, vote on real bills, follow the money, and build evidence-based case files. It's free, ad-free, and does not collect or sell personal data.

The site favors official public data sources like the Congress.gov API, FEC filings, and Inspector General reports over anyone's spin. Every section carries an "ⓘ more info" dropdown exposing its sources, who added it, and why. Contributions are open to anyone, and every change is reviewed by at least one verified developers before it deploys.

React
JavaScript
Civic Tech
Congress.gov API
Open Data

More to be added soon

Check back for more of my latest work in data science, AI/ML, software, and hardware.

Recent Community Service

IEEE Regions 1 & 2 Student Activities Conference

Co-Lead

I served as a co-lead for the IEEE Regions 1 and 2 Student Activities Conference (SAC), a dynamic student conference that draws approximately 350 participants from a range of engineering and technology disciplines. The event is designed to foster meaningful engagement through a rich program of educational workshops, keynote presentations, panel discussions, and hands-on sessions. With a strong emphasis on learning, professional development, innovation, and networking, SAC serves as a platform for both emerging and experienced professionals.

The 2026 SAC will be held on March 20-21st at the Rowan Engineering Hall in Glassboro, NJ, featuring several modernized engineering spaces ready for design. I am deeply passionate about developing tomorrow's leaders in STEM and facilitating great conversations that connect students with the ideas and people who will shape their careers.

IEEE
STEM Leadership
Event Planning
Mentorship
Networking

More to come

I'm always looking for new ways to give back to the engineering community and support the next generation of innovators.

Small Business Consulting

Big Data Consulting

I'm excited to announce that I'm offering specialized consulting services for small businesses as a co-founder of Everwonder Technologies LLC. Drawing from my technical expertise and problem-solving skills, I aim to help small businesses leverage technology and data to grow and optimize their operations. Small businesses are the cornerstone of America, and I'm passionate about helping them thrive!

New Spring 2026
Business consulting animation

Data Analysis

Transform your daily operations through robust data analysis. Identify trends, optimize processes, and make data-driven decisions to improve efficiency and profitability.

Technology Solutions

Implement sensors such as ultrasonic and other technologies to determine occupancy, monitor equipment, and gather valuable environmental data for your business operations.

Interfacing with Data

Access a dedicated dashboard where business owners can view their data, analysis results, and actionable insights in an intuitive way designed for easy understanding.

Featured Project Examples

Dashboard Home

Company Dashboard

Comprehensive business analytics and IoT monitoring solution featuring POS integration, Example includes temperature and humidity monitoring for food safety compliance, visitor tracking, and automated alerts with actionable recommendations.

React
Dashboard
Analytics
IoT Monitoring
IoT sensor network with Raspberry Pi, ultrasonic sensors, and temperature/humidity sensor

IoT Data Collection System

Simple, highly efficient IoT monitoring system utilizing a temperature and humidity sensor for environmental condition tracking, and ultrasonic sensors for foot traffic analysis and occupancy monitoring.

IoT
Temperature
Ultrasonic
Analytics

Education

Bachelor's Degree in Electrical and Computer Engineering

Rowan University Class of 2025

Comprehensive program covering digital systems, circuit analysis, hardware design, signal processing, programming, and more.

C. Ernest O'Neal Medallion Award
IEEE Student Branch

Experience

Associate Data Scientist

Present

Exelon · Full-time

  • Automating complex workflows to streamline data processing and operational efficiency across multiple operating companies
  • Developing advanced data visualizations and interactive dashboards to provide actionable insights for executive decision-making
  • Implementing computer vision and AI/ML models to revolutionize operational predictions and asset management
  • Leading cross-functional initiatives to integrate AI/ML solutions into existing business processes

AI/ML Student Researcher - MAVRC

May 2024 - May 2025

Rowan University · Part-time · Remote

  • Worked on a self-paced curriculum learning model to develop a robust policy for drone detection training
  • Leveraged the YOLOv8 computer vision model as the reinforcement learning environment

Multi OpCo Projects Intern

Jun 2024 - Aug 2024

Exelon · Internship · Hybrid

  • Worked in Python to automate electrical distribution work order management
  • Assessed transformer, arrestor, and other asset reliability
  • Learned project management structure and effective techniques for job execution

Software Engineering Intern - College Student Tech SR (RMS)

May 2023 - Aug 2023

Lockheed Martin · Internship · Mount Laurel, New Jersey

  • Migrated thousands of lines of legacy code to C++ for flexibility
  • Followed DevOps CI/CD model to maintain high quality code
  • Updated several analysis scripts and wrote extensive documentation

Systems Engineering Intern - College Student Tech (RMS)

May 2022 - Aug 2022

Lockheed Martin · Internship · Mount Laurel, New Jersey

  • Assisted in the development of a Python interface for running simulations
  • Analyzed and developed scripts for high fidelity simulation data

Get In Touch

"Do not seek to believe... but believe to seek"