Vasilis Oikonomou
Quantitative Researcher
United Kingdom
Summary
👤
Senior🎓
Top SchoolVasilis Oikonomou is a quantitative researcher with a decade of experience turning large and unconventional datasets into trading and product insights, currently applying alternative data techniques at Two Sigma. Trained at UC Berkeley (B.A. Statistics, 3.97), he blends deep learning research—NLP tools like Word2Vec and LSTMs and sequence models for biometric signals—with hands-on ML engineering in production. Past roles range from leading a published deep-learning/HCI project (Inquire) to developing prototype fintech and recruitment systems that directly impacted funding and product features. He has a strong teaching background in machine learning and data science, and a proven knack for taking end-to-end projects from data collection and model design to demos and deployment. Notably, he has contributed both research-grade systems and pragmatic pipelines that bridge academic methods and real-world trading/identity use cases.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Arts (B.A), Statistics, 3.97, Bachelor of Arts (B.A), Statistics, 3.97 at University of California, BerkeleyHigh School, High School at Hellenic American Educational Foundation Athens College - Psychico College
English, Greek, FrenchProgramming languages (2)
Github contributions (5)
smani2/project-starter-code
Apr 2018 - Apr 2018
Contributions:10 commits, 6 pushes in 15 days
starter-code
oikobill/oikobill.github.io
Jul 2016 - Jan 2019
Contributions:57 pushes, 3 branches in 2 years 6 months
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