<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>José Luis Reséndiz – projects</title><description>José Luis Reséndiz (Jose Luis Resendiz) is a Data Engineer in Monterrey, Mexico. AWS Certified Solutions Architect building serverless APIs, data lakes and ETL pipelines for machine data, plus applied AI projects.</description><link>https://luis-data-portfolio.web.app/</link><item><title>ratingg</title><link>https://luis-data-portfolio.web.app/projects/ratingg/</link><guid isPermaLink="true">https://luis-data-portfolio.web.app/projects/ratingg/</guid><description>A table-service tool for restaurants. Diners request service from the table, staff are notified in real time, and owners get a dashboard of response times.</description><pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Shift2Data</title><link>https://luis-data-portfolio.web.app/projects/shift2data/</link><guid isPermaLink="true">https://luis-data-portfolio.web.app/projects/shift2data/</guid><description>A site and weekly newsletter about data and AI, built as a static Astro site with an automated publishing workflow.</description><pubDate>Tue, 01 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Casting defect classifier</title><link>https://luis-data-portfolio.web.app/projects/casting-defect-classifier/</link><guid isPermaLink="true">https://luis-data-portfolio.web.app/projects/casting-defect-classifier/</guid><description>A convolutional neural network that classifies photos of industrial casting products as defective or OK, reaching 94.8% validation accuracy.</description><pubDate>Sat, 01 Jun 2024 00:00:00 GMT</pubDate></item><item><title>Google Trends data with pytrends</title><link>https://luis-data-portfolio.web.app/projects/google-trends-pytrends/</link><guid isPermaLink="true">https://luis-data-portfolio.web.app/projects/google-trends-pytrends/</guid><description>A hands-on notebook that shows how to pull Google Trends data in Python with pytrends, method by method.</description><pubDate>Tue, 01 Jun 2021 00:00:00 GMT</pubDate></item><item><title>Mexican Pueblos Mágicos, exploratory analysis</title><link>https://luis-data-portfolio.web.app/projects/pueblos-magicos-eda/</link><guid isPermaLink="true">https://luis-data-portfolio.web.app/projects/pueblos-magicos-eda/</guid><description>An exploratory data analysis of Mexico&apos;s Pueblos Mágicos: population, distribution by state and a K-Means clustering of their locations.</description><pubDate>Tue, 01 Jun 2021 00:00:00 GMT</pubDate></item></channel></rss>