Summary
Houston Santos is an experienced data scientist with nine years of hands-on practice in analytics, machine learning and data engineering, currently contributing to PNUD Brasil. He has built end-to-end solutions across production lines, logistics optimization and forecasting using tools such as Prophet, XGBoost, MLflow and Databricks, and operationalized ML within Elasticsearch and containerized microservice environments. His background spans infrastructure and ERP development—AdvPL customizations and Protheus integrations—giving him uncommon fluency in bridging legacy business systems with modern data stacks. Comfortable across SQL, BigQuery, Kafka, Airflow and ELK, he excels at feature engineering, ETL pipelines and model deployment for classification, anomaly detection and forecasting. Holders of multiple postgraduate specializations in analytics and statistics, he pairs practical production experience with formal training in NLP and advanced analytics. Based in Pernambuco, Brazil, he brings a pragmatic, full-lifecycle mindset that favors reproducible, operational ML over proof-of-concept work.
9 years of coding experience
Pós-graduação Lato Sensu - MBA, Advanced Analytics e Business Optimization, Pós-graduação Lato Sensu - MBA, Advanced Analytics e Business Optimization at Universidade Federal do Paraná
Extensão, Python para Processamento de Linguagem Natural, Extensão, Python para Processamento de Linguagem Natural at Instituto de Ciências Matemáticas e de Computação (ICMC)
Pós-graduação Lato Sensu - Especialização, Ciência de Dados e Analytics, Pós-graduação Lato Sensu - Especialização, Ciência de Dados e Analytics at Universidade de Pernambuco
Bacharelado, Computer Science, Bacharelado, Computer Science at UNIFG
Pós-graduação Lato Sensu - Especialização, Estatística Aplicada, Pós-graduação Lato Sensu - Especialização, Estatística Aplicada at Anhanguera Educacional