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Essential Read

Why I Started A Ray of Data & What to Expect

Welcome to A Ray of Data. This first post is a little introduction to who I am, how I moved from math teaching into data science, and why I’m documenting my learning journey publicly. My goal is to build a portfolio that shows not just finished projects, but also the process behind them. 
Recent posts

My First Conference: PyOhio

My first PyOhio introduced me to accessible Python talks, welcoming community spaces, and new professional connections. I left Cleveland with new ideas to explore and more confidence in my future as a Python developer.

OOPS! All Python: Learning Object-Oriented Programming

This week, I stepped away from data science tools to strengthen a core Python skill: object-oriented programming. I applied what I learned by building a "complete" Blackjack game and discovered why planning object relationships early matters.  

Tech, Teaching, and Tiny Robots

This post reflects on volunteering with MCWT Camp Infinity, reconnecting with the classroom, and helping students explore the joy of coding through Scratch, Brython, and robots.

My 10-Week Summer Plan: Building Toward the Career Fair

This post is a short update on my summer focus: preparing for the fall STEM career fair, strengthening my portfolio, and turning my current learning plan into clearer evidence of my data science skills.

Star Bakers, Handshakes, and Dashboards: My First Power BI Project

This post reflects on my first independent Power BI dashboard project and what I learned while building it. Using a Great British Bake Off dataset, I practiced turning raw data into an interactive report while learning how much dashboards depend on cleaning, modeling, design, and revision.

Reflecting on My Capstone: Lessons from a Semester of Data Science

This capstone was one of my proudest projects, not because it went perfectly, but because it taught me so much through feedback, mistakes, and revision. Over the semester, I worked through the full process of building a data science project, from choosing a research question to cleaning data, building models, evaluating results, and creating a final report. This post is a behind-the-scenes reflection on what I built, what I struggled with, and what I learned along the way. In this post:     - Why This Capstone Mattered     - Choosing the Topic: From Interest to Research Question     - Data Cleaning Process     - Building the Models     - Learning How to Evaluate Results     - Turning Assignments into a Final Report     - Final Reflection: What I Learned Why This Capstone Mattered In my final capstone for my data science bachelor’s degree, I researched the connection between pre-existing conditions, simple demographic...