Amelia Meyer Data Science & Machine Learning

About Me

Hi, I’m Amelia, a data enthusiast with a B.S. in Statistics and Data Science from UC Santa Barbara. I currently work at Magic Touch Software International as a Data Analyst, where I create customized data reports using SQL, Excel, Crystal Reports, and Power BI; design user-friendly web interfaces with HTML; and support dental laboratories worldwide with our CRM platform.

Outside of work, I’m actively building my skills in Data Science and Machine Learning through hands-on projects that explore topics like music analytics and natural language processing. When I’m not coding, you’ll likely find me on the golf course, playing instruments, or finding new ways to combine creativity with data. I’m always excited to collaborate, learn, and grow—whether it’s on a new project, a job opportunity, or just a great conversation. Feel free to reach out!

Software and Languages

Python Python — Advanced proficiency, especially for data analysis and machine learning.
SQL Microsoft and BigQuery SQL — Experienced with writing complex queries and database management.
R R & SAS — Skilled in statistical analysis and data visualization.
Tableau Tableau — Creating interactive dashboards and data storytelling.
Power BI Power BI — Business intelligence reporting and visual analytics.
Jupyter Notebook Jupyter Notebook — Interactive data exploration and prototyping.
HTML HTML - For configuring websites and Customer Portals.

Certifications

Google Data Analytics Certificate- Coursera (June 2025)
Data Science and Machine Learning - Kaggle (2025)

Featured Projects

Flood Claims

Flood Claims

*This project is currently in progress*.It explores the FEMA redacted Flood Claims.

View Project
US Golf Course Access

US Golf Course Access

*This project is currently in progress*.It explores whether top PGA and LPGA players are more likely to come from areas with higher access to golf courses, using geospatial data and player rankings.

View Project
Amazon Review Words

NLP with Amazon Reviews

Using Natural Language Processing (NLP) to classify Amazon product reviews based on the written text. The goal is was to gain consumer insight by leveraging text-based features and machine learning models.

View Project
Mood Prediction Confusion Matrix

Mood Classification using Spotify Audio Features

Applied classification algorithms to predict song mood (happy or not happy) from Spotify audio characteristics like valence, energy, and danceability

View Project


Why is my favicon a duck?