Summary
Matt Tranquada is a data scientist with eight years of experience who blends a social science background and qualitative research training with practical Python and machine learning skills. He specializes in NLP and high-dimensional data visualization, building models that help organizations surface actionable insights from text. Matt is passionate about designing sociotechnical solutions that align technical systems with management practices across business, government, and civil society. His academic path—BA in Asian Studies, MA in Comparative Regional Studies (East Asia), a Data Science Immersive, and ongoing MS in Data Science—gives him cross-cultural and interdisciplinary perspective uncommon in many data practitioners. Based in Brookhaven, NY, he brings a hacker’s curiosity and a social scientist’s rigor to bridge technical implementation and organizational adoption.
8 years of coding experience
International Christian University
MA, Comparative Regional Studies - East Asia, MA, Comparative Regional Studies - East Asia at American University
BA, Asian Studies, BA, Asian Studies at Pomona College
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Stony Brook University
Ward Melville High School
Yokohama Hayato High School
Data Science Immersive, Data Science Immersive at General Assembly
Japanese, Korean, German