Nelson Herrera is a Data Engineer with an 11-year software background and an MSc in Computer Science, currently building data solutions at Globant. He combines deep expertise in data warehousing, ETL, and databases with hands-on experience in Big Data technologies (Hadoop, Spark) and search/indexing engines like Elasticsearch. For five years he applied ML, information extraction and retrieval to cancer registry data, developing automated diagnosis classifiers and bulk structured/unstructured ETL pipelines for one of Latin America’s leading registries. Nelson blends academic research (information retrieval systems for scientific documents) with practical BI and reporting work in healthcare, giving him uncommon domain knowledge of cancer data workflows. Fluent in Python and driven by pragmatic, production-ready data processing, he enjoys turning messy clinical text into trustworthy analytical assets.
11 years of coding experience
7 years of employment as a software developer
Data Science, Data Science at Data Science for All by Correlation One
Master's degree, Computer Science, Master's degree, Computer Science at Universidad del Valle (CO)
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