José Sánchez-molero is a Senior Data Scientist based in Madrid with over six years of experience building end-to-end machine learning solutions across aviation, real estate, and consulting projects. He has delivered dynamic pricing systems, ETL pipelines, and productionized ML APIs using Python, R, AWS services, Airflow and container orchestration, pairing modeling with economic impact analysis. His background combines a Data Science Master's and a quantitative Business Administration degree, which he applies to geostatistical forecasting (kriging/cokriging), unsupervised analysis and complex interactive visualizations. Known for moving models to production, he also brings hands-on expertise in testing, deployment and scalable data engineering on Redshift, S3, EMR and Spark. Pragmatic and interdisciplinary, he often bridges academic collaboration and commercial delivery—evident in an automatic valuation model developed with a university partner.
6 years of coding experience
5 years of employment as a software developer
Degree in Bussines Administration and companies with mention in economics and quantitative methods, Degree in Bussines Administration and companies with mention in economics and quantitative methods at Universidad de Castilla-La Mancha
Data Science Master, Data Science Master at Universidad Rey Juan Carlos
Use of Machine Learning and geostatistics to predict house's prices.
Contributions:2 PRs, 14 pushes, 1 branch in 1 month
housepythongeostatisticsdata-scienceprices
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