Rafael Augusto Gutierrez Noriega
I am a hybrid Data Scientist and Data Engineer with 8+ years of experience designing, building, and deploying end-to-end data, analytics, and AI solutions in production.
About
I am a hybrid Data Scientist and Data Engineer with 8+ years of experience designing, building, and deploying end-to-end data, analytics, and AI solutions in production. I specialize in scalable data platforms on AWS, Spark, and Hadoop, and I apply ML, NLP, and RAG techniques to deliver measurable business outcomes across finance, real estate, telecom, and manufacturing.
I enjoy leading cross-functional teams, turning complex data into actionable insights, and continuously improving MLOps practices to ensure reliable, auditable models. I’m motivated by solving real-world problems and helping organizations unlock the value of their data.
- 23 years' experience
- Joined January 2026
Skills· 18
Languages
- Spanish; CastilianFluent
- EnglishAdvanced
Industry experience
- Financial Services
- Real Estate & Construction
- Telecommunications
- Manufacturing
- Software & Internet
- Media & Entertainment
Work experience· 6 roles
Analytical and technical leader for the Notarial Real Estate Information Portal on AWS. Designed analytical layers processing millions of notarized real estate transactions; developed the first automated real estate valuation model (AVM) using historical data; integrated OpenStreetMap geospatial data to enrich property-level analyses; explored RAG frameworks to support an assisted business intelligence layer with guided insights and natural language interactions.
Extracted key information from real estate contracts using NLP and conversational AI; built a Power BI visualization layer for commissions, profitability and growth; developed a forecasting engine using Prophet in Python and AWS SageMaker; contributed to budgeting and planning improvements for a major airline and other clients.
Designed and built a business intelligence layer for the Finance controlling office; automated monthly sales performance reports; managed analytics projects using agile methodologies; collaborated with Data Engineers to implement MLOps and DataOps for a large bank; performed customer segmentation and NLP-driven insights to optimize marketing and engagement.
Education
Certifications and awards
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