Background

Brayden Christensen

Software Engineer | Data Scientist

About Me

Profile

I love building things and having real-world impact. Some of the topics that I'm most interested in are networking, machine learning, and computer vision. Here are some of my personal projects!

My Projects

School-Related Projects

ML Ops Spot Parking Final Project - Image 1

ML Ops Spot Parking Final Project

AWS ML Ops final project moving an a small-scale video inference system to AWS

End-to-End ML Pipeline - Image 1

End-to-End ML Pipeline

AWS ML Ops midterm project using AWS Glue, S3, and Sagemaker for the EDA, feature engineering, model training, selection, and deployment, and API Gateway for the public endpoint.

Credit Card Fraud detection model - Image 1
Credit Card Fraud detection model - Image 2
Credit Card Fraud detection model - Image 3

Credit Card Fraud detection model

Machine Learning group final project using Kaggle dataset to predict credit card fraud. Used SMOTE, PCA, and XGBoost to achieve 99% accuracy.

Deep Learning Final Project - Image 1
Deep Learning Final Project - Image 2
Deep Learning Final Project - Image 3

Deep Learning Final Project

Language classification using deep learning techniques

Personal Projects

Apache Airflow Project

Personal Data Engineering project using Apache Airflow and Spark to take data from the Starlink free API, process their satellite data, and store it in S3

Salon Inventory Agent

Mastra-powered AI assistant for salon hair color inventory: natural-language stock updates, PostgreSQL-backed data, Open WebUI chat, hybrid Raspberry Pi and AWS deployment over WireGuard.

Work Projects

Category Pricing Tool @ Pattern - Image 1
Category Pricing Tool @ Pattern - Image 2

Category Pricing Tool @ Pattern

Data warehouse analysis on US Amazon category price trends. Streamlit app to automate data query, run category pricing algorithm and download data for marketing team analysis and visualization.