Fernanda
Borsari Miguel

My first end-to-end data engineering project, built step by step on Databricks Free Edition: raw public files land in a Volume, move through Bronze, Silver and Gold layers, run as a monthly scheduled job, and feed an AI/BI dashboard. I chose the EPA drinking water data because it matters to everyone, it is public and refreshed quarterly, and it is messy enough to need real engineering: duplicated rows, coded values and county mapping. And I loved working in Databricks: notebooks, Unity Catalog, Jobs and dashboards in one place made the whole flow feel connected. Bring on the next challenges!

Exploring student academic performance across 1,200+ Texas school districts using publicly available TEA STAAR data. Built with Power BI and custom DAX measures for Year-over-Year analysis. Covers Overview and School Progress pages with KPI cards, heatmap by grade, district-level filters, and a year-over-year district progress tracker.

This project was born from a desire to better understand the North Texas real estate market: where it stands today, how it got here, and where it could be over the next 10 years. The analysis covers 18 cities, combining historical data from Redfin and Zillow to compare home values, appreciation, growth, and market behavior over time. Using this historical foundation, the project applies forecasting models to explore potential future scenarios. More than simply tracking numbers, the goal is to make housing market data easier to understand for everyday people, helping someone considering buying a home, moving to a new city, or simply understanding their local market see which areas are growing, which are slowing down, and where new opportunities may emerge.

Designed to empower small pharmacy businesses with data-driven insights to optimize operations and drive growth. Powered by Qlik Sense with 1.2M rows, custom CSS, and Set Analysis expressions. Covers sales, insurance, geography, and patient behavior across 6 tabs. The kind of dashboard that goes beyond drag-and-drop.

Fictional dataset for portfolio purposes.

Heatmap extension by @YoshidaQlik

Tableau Public dashboard for an auto repair chain across 15 Texas locations (Jan–Jun 2026). Star schema with 10 tables, tracking revenue, service types, inventory alerts, customer satisfaction, and store rankings. Built while learning Tableau.

Fictional dataset for portfolio purposes.