Summary
Marvin Mananghaya is a Data Engineer with a decade of experience building production data infrastructure and ML pipelines, currently enabling data science at Munich American Reinsurance Company in New York City. He combines an MS in Urban Informatics from NYU with hands-on expertise in Kafka, Spark, Airflow, Delta Lake, and cloud data warehousing to deliver scalable ingestion, processing, and automation solutions. His background spans consulting across financial services, retail, telecom and government, plus analytics roles where he dramatically cut report runtimes and operational costs through automation. An Insight Data Science fellow, he built Tw0rdz—an end-to-end slang analysis system that used TF-IDF, Jaccard and Levenshtein methods to surface conversational entities for product recommendation. He’s particularly interested in ML systems, Data/MLOps and NLP-driven entity resolution, bringing a mix of academic rigor and pragmatic engineering to complex data problems.
10 years of coding experience
2 years of employment as a software developer
edX
BSc Management of Financial Institutions, Finance, General, BSc Management of Financial Institutions, Finance, General at De La Salle University
Master of Science - MS, Applied Urban Science and Urban Informatics, 3.9, Master of Science - MS, Applied Urban Science and Urban Informatics, 3.9 at NYU Center for Urban Science + Progress
Colegio San Agustin - Makati
Filipino, English