About Me

Turning data into meaningful insights

I'm Peyton Bailey, a data science graduate student with a background in environmental science and a passion for using data to solve real-world problems.

My work combines analytical thinking, curiosity, and creativity. I enjoy exploring data, building technical skills in machine learning and analytics, and communicating insights in a clear and meaningful way.

Outside of data science, I’m also a professional steel drum musician. That creative background has shaped the way I approach problem-solving, bringing discipline, adaptability, and originality into the work I do.

If you're curious about my music work, you can learn more here: Ms. Drumz Steel Drum Music .

Python Analytics Machine Learning Creative Problem Solving
Peyton Bailey portrait
Music-Driven

Creativity and rhythm shape how I connect ideas.

Data-Focused

I enjoy exploring patterns and solving problems through data.

Always Learning

Committed to growing my skills in analytics and machine learning.

Creative Energy

Original thinking and adaptability drive my work.

Projects

Here are a few featured projects that showcase my work in deep learning, machine learning, and data pipeline development through my graduate studies and hands-on analytics work.

CNN Image Classification Project
Deep Learning
Image Classification with CNN

Built a convolutional neural network to classify images using deep learning techniques. This project included preprocessing image data, training the model, evaluating performance, and analyzing results through visual metrics.

Python TensorFlow / Keras Jupyter Matplotlib Computer Vision
  • Classified 30 different plant species using CNN architecture.
  • Used training/validation evaluation and confusion matrix analysis.
  • Achieved high accuracy through model tuning and preprocessing.
  • Demonstrated deep learning workflow from dataset to evaluation.
View GitHub
Machine Learning Prediction Model Project
Machine Learning
Predictive Machine Learning Model

Built a machine learning model using multiple linear regression to predict residential housing prices. The project involved preparing the dataset, training the regression model, evaluating predictive performance, and interpreting the results to understand factors influencing property value.

Python pandas scikit-learn Jupyter Data Analysis
  • Used multiple linear regression for predictive modeling.
  • Analyzed features including square footage, bedrooms, bathrooms, and home age.
  • Included neighborhood crime rate as a socioeconomic variable.
  • Evaluated model accuracy and relationships between features and price.
View GitHub
Data Pipeline and Deployment Project
Deployment
Data Pipeline & Deployment Workflow

Developed a machine learning pipeline to predict flight delays based on the origin of incoming flights to a selected airport. The project focused on building an automated ML workflow using MLflow, deploying the trained model through a REST API, and validating functionality with unit tests.

Python Data Cleaning Pipeline Design Jupyter Environment Setup
  • Built an automated ML pipeline using MLflow.
  • Predicted flight delays using airport origin data.
  • Deployed the trained model through a REST API.
  • Implemented unit testing to validate API functionality.
  • Containerized the application for deployment.
View GitHub

Technical Skills

Python icon

Python & Data Analysis

Experienced using Python for data analysis, including pandas, NumPy, and data cleaning workflows used in real analytical projects.

View related projects
Machine Learning icon

Machine Learning

Built predictive models using machine learning techniques including model training, feature selection, and performance evaluation.

See ML project
Deep Learning icon

Deep Learning

Developed convolutional neural networks (CNNs) for image classification tasks including training models to recognize 30 plant species.

View CNN project
Data Pipeline icon

Data Pipelines

Built structured workflows for importing, cleaning, and processing data as part of deployment-focused analytics projects.

Explore deployment project

WGU Data Science Credentials

WGU Data Science Professional Badge
Data Science Professional

WGU specialization credential demonstrating applied knowledge in data science including analytics, modeling, and practical data-driven problem solving.

Verify Credential
WGU Data Operations Certificate
Data Operations Certificate

Certificate awarded by Western Governors University recognizing competency in data operations including data management, pipelines, and modern data infrastructure concepts.

Verify Credential
WGU Data Analytics Professional Certificate
Data Analytics Professional

Professional certificate from Western Governors University demonstrating competency in data analytics, including data analysis, visualization, and interpreting data to support informed decision-making.

Verify Credential

Contact Me