Arturo.
Analytics Engineer based in Monterrey. I build data pipelines, ship products, and help teams turn raw data into decisions.
It started with a robot. I joined the robotics club in high school, in the soccer category, and it was there that I picked up my first ideas about programming, about working as a team, about how electronic components actually work, and about 3D modelling. That laid the foundations of my interest in computing, and what caught my attention most was computer vision and its potential: I found it incredible that a machine could tell objects apart through a camera, and I was fascinated by how it managed to do it.
Around those years AI was showing up everywhere and I couldn't look away: AI-generated video, generated images, text generators. It struck me as incredible, because it was watching the futuristic movies start to become real. I went after the math behind it, and what held me was the moment a model stops being an equation and starts predicting something real.
That thread ran through Computer Science and shifted toward data and statistics, combined with a genuine enjoyment of programming. During my studies I had the chance to do internships in both Software Engineering and Analytics, and across my career I've been able to learn from different worlds — business as much as technology — and build a hybrid profile that lets me make technical decisions fitted to what the business actually needs.
If there's one thing I love, it's the chance to keep learning and to take on challenges that grow me professionally as much as personally. I've met people who were always willing to teach me, and that's why I'm always willing to support the people I work with — spreading a philosophy of helping without expecting anything in return.



Intinera
AI-powered travel itinerary planner with interactive maps, public sharing, offline mode, and PDF export.
CalTrack
Mobile nutrition tracker that recognizes food via camera AI and barcode scanning, with local SQLite storage.
NPS Sentiment Analysis
Weighted NPS scoring system that combines numeric survey scores with sentiment analysis of customer comments using HuggingFace models.
Programming Languages
PythonSQLTypeScriptJavaScriptJava
Data Engineering
ETLPySparkPandasMicrosoft FabricSnowflakeData WarehousingMSSQL ServerExcel
Data Science & Analytics
Machine LearningDeep LearningNLPTensorFlowKerasScikit-LearnHuggingFaceNLTKPower BIStatisticsData Mining
Software Engineering
ReactNode.jsVue.jsGitREST APIsNoSQLLinuxAgileScrumTDD
Tools & Platforms
Power AutomatePower AppsSAP