Jose Eliuth
Torres Ortiz
Data Analyst & Data Engineer
Computer Systems Engineer pursuing a Master's in Data Science and Engineering (UAT). 3+ years of experience in data analysis, operational reporting, and independently building and deploying ML applications.
About Me
My path into data started at SSPT, where I saw firsthand how the right information — delivered at the right time — changes how decisions are made at scale. What started as a technical job turned into a genuine passion for building systems that make data actionable.
I'm drawn to problems where data is messy, processes are manual, and the opportunity to automate is clear. I like to see things through to deployment — from designing the data flow to building the app that makes it visible. Available for remote positions.
Technical Skills
Languages
Data & Databases
Visualization
ML & NLP
Web & Apps
Tools
Projects
Predict-Heart
ProductionMaster's project deployed in production. Cardiac risk prediction web app implementing 6 ML models (Logistic Regression, Naive Bayes, KNN, Decision Tree, SVM, and MLP Neural Network) plus a final ensemble, with a full pipeline: data cleaning, feature engineering, and metrics evaluation (accuracy, F1, AUC).
Spotify ETL Pipeline
Data EngineeringAutomated and scalable ETL architecture that extracts data from the Spotify API, transforms it for completeness and consistency, stores it in PostgreSQL, and exposes it through interactive Power BI dashboards.
Neonatal Epilepsy Ontology
ResearchOntological model for early inference of neonatal epileptic syndromes, developed as part of the Master's research at UAT. Combines OWL, SWRL, and Protégé to represent clinical knowledge and apply semantic reasoning over bioinformatics data.
Experience
Independent Projects & Master's in Data Science
CurrentUAT · Self-directed
- Pursuing the 5th semester of a Master's in Data Science and Engineering at UAT, focused on applied Machine Learning and Semantic Web.
- Independently built and deployed Predict-Heart, a cardiac risk prediction web app with 6 ML models and a final ensemble.
- Built a full ETL pipeline extracting data from the Spotify API, transforming and storing it in PostgreSQL with Power BI dashboards.
- Developed an ontological model for early inference of neonatal epileptic syndromes using OWL, SWRL, and Protégé as part of the Master's thesis.
Data Analyst & Systems Technician
Secretaría de Seguridad Pública de Tamaulipas (SSPT)
- Designed and implemented from scratch a daily operational reporting system (Google Sheets + AppSheet) that replaced manual data capture, delivering the force status of 43 municipalities.
- Structured the data flow from 11 independent sources into a centralized Google Sheets system, ensuring data consistency and automated daily delivery.
- Developed a mobile application in AppSheet with a directory of municipal coordinators, providing real-time access to contact information and personnel status.
- Proposed and led the migration of multiple operational records from manual Word/PDF reports to a centralized Excel system, automating the generation of visualizations and eliminating hours of daily manual entry.
- The system was replicated in another area of the institution, improving reporting times and eliminating manual processes, training the staff involved for correct implementation.
Contact
Have a data project or opportunity in mind? Let's talk.