Luís Felipe Tomazini
São Carlos, São Paulo, Brazil
Summary
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SeniorLuís Felipe Tomazini is a Payments Risk Data Science Specialist at Coinbase, bringing nine years of experience designing and operationalizing fraud prevention for international card and mobile payments. He leads ML feature development and controls that reduce fraud while enabling global expansion, and he creates dashboards to monitor risk across new regions. With a strong foundation in data science and machine learning from roles at Getnet Brasil and research stints at UFSCar and CMU, he blends technical rigor with regulatory context such as Open Banking/Open Finance in Brazil. He has experience building risk scoring engines for credit, onboarding, and merchant lifecycle, and he has contributed to cross-functional, data-driven decision making. His background also includes leadership in diversity initiatives and a track record of translating complex analytics into practical, auditable controls. Based in São Paulo, he combines hands-on engineering with strategic risk management to enable secure, scalable payments platforms.
9 years of coding experienceProgramming languages (2)
Github contributions (5)
MaLL-UFSCar/EITa
Jul 2018 - Nov 2018
Contributions:8 pushes in 3 months
lftomazini/artificial_intelligence
Nov 2017 - Dec 2017
Contributions:15 pushes, 1 branch in 1 month
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