Faye Voulivasi is a Senior Data Scientist with nine years of experience building recommender systems, retrieval & ranking, and personalized ML solutions across retail, finance, and public health. Currently at Staples in Sunnyvale, she focuses on customer experience and marketing, having previously led MLOps and monitoring at OCBC Bank’s AI Lab and delivered production-ready health analytics and symptom-checking platforms for Singapore’s MOH. Her background blends hands-on NLP and hybrid recommender engineering at ESA with robust ETL, experiment tracking (MLflow), and BI dashboarding skills, enabling end-to-end deployment of explainable models. Comfortable with both research-driven prototypes and operational systems on cloud premises, she has a track record of automating data pipelines and enabling A/B experimentation. Multilingual field experience—including a Vulcanus in Japan LIDAR engineering project—and an IDSS credential from MIT underline her interdisciplinary problem-solving and systems-thinking approach.
9 years of coding experience
6 years of employment as a software developer
The Naganuma School - Tokyo School of Japanese Language
IDSS, Institute for Data, Systems, and Society, Data Science and Machine Learning: Making Data-Driven Decisions, IDSS, Institute for Data, Systems, and Society, Data Science and Machine Learning: Making Data-Driven Decisions at Massachusetts Institute of Technology
Combined Master’s and Bachelor‘s Degree — Electrical and Computer Engineering, Combined Master’s and Bachelor‘s Degree — Electrical and Computer Engineering at School of Electrical and Computer Engineering - Aristotle University of Thessaloniki
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