Data Engineer · Full‑stack enthusiast · Lifelong learner
- 🔭 Data Engineer with a knack for turning messy datasets into clear, actionable insights.
- 💻 Tech Stack: Python (pandas, NumPy, scikit‑learn), SQL, Ruby, Ruby on Rails, JavaScript (ES6+), HTML/CSS.
- 🧠 Currently exploring the intersection of machine learning & web development—from predictive models to full‑stack apps.
- 🌱 Always learning: cloud data engineering, AI agents, and creative data‑driven storytelling.
- 🔌 Passionate about open‑source—especially Rails and data projects.
- ✍️ I write occasional articles on optimizing Rails performance with Mongoid, automating analytics, and more.
| Data & ML | Web / Backend | Frontend | Dev & Ops |
|---|---|---|---|
pandas · NumPy · scikit‑learn · Power BI · Matplotlib |
Ruby · Rails · Python/FastAPI · PostgreSQL · MongoDB |
JavaScript · React · TailwindCSS |
Git · GitHub Actions · Docker |
| Project | Description | Tech |
|---|---|---|
| Product App | End‑to‑end Rails & React application for product lifecycle analytics. | Rails · Mongoid · MongoDB Atlas |
| Autom8te Excel | Python toolset that automates complex Excel workflows for supply‑chain analytics. | Python · pandas · openpyxl |
| YouTube Shorts Generator | Workflow that automates creation of monetized Shorts with AI voiceovers & captions. | n8n · Node.js · FFmpeg |
See the code: github.com/humbertodiazp/product_app
- 💬 Talk data, Rails, or ML: open an issue, start a discussion, or DM me)
- ✉️ Email: humberto.diaz.p@gmail.com
“Turning data into decisions, one line of code at a time.”
