I am a quantitatively-driven professional bridging the gap between engineering rigor and human-centric storytelling. With a background in advanced mathematics and a Google Data Analytics Professional Certificate, I turn raw data into actionable insights.
- Languages: SQL, R
- Visualization: Tableau, ggplot2
- Engineering: AutoCAD, Technical Documentation
- Tools: Excel (Advanced), Git/GitHub
Analyzed 1.9M+ rows of ridership data to design a membership growth strategy. Used SQL for data cleaning and Tableau to visualize the "Casual vs. Member" behavioral divide.
Engineered an end-to-end retail intelligence system on 541k+ transactions using R (Tidyverse) and Tableau, implementing RFM segmentation, CLV modeling, and cross-dimensional analytics to decode global purchasing behavior and monetization patterns.
- Power: 24/7 Solar/Inverter Backup
- Internet: High-speed Fiber Optic
- Communication: Slack, Zoom, Microsoft Teams