I am a Data Scientist with extensive experience in developing and deploying machine learning models specifically for fraud prevention and risk analysis. With a strong academic foundation in survival analysis, I have transitioned to focus on Marketing Science, designing experiments that measure channel impact and optimize marketing budget allocation. My aim is to leverage data to drive strategic decision-making and enhance business outcomes.

Isabel de Castro Beneyto

I am a Data Scientist with extensive experience in developing and deploying machine learning models specifically for fraud prevention and risk analysis. With a strong academic foundation in survival analysis, I have transitioned to focus on Marketing Science, designing experiments that measure channel impact and optimize marketing budget allocation. My aim is to leverage data to drive strategic decision-making and enhance business outcomes.

Available to hire

I am a Data Scientist with extensive experience in developing and deploying machine learning models specifically for fraud prevention and risk analysis. With a strong academic foundation in survival analysis, I have transitioned to focus on Marketing Science, designing experiments that measure channel impact and optimize marketing budget allocation. My aim is to leverage data to drive strategic decision-making and enhance business outcomes.

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Experience Level

Language

Portuguese
Fluent
English
Advanced
Spanish; Castilian
Intermediate

Work Experience

Data Scientist at Nubank
December 1, 2024 - Present
Designed and implemented a scalable Synthetic Control framework for measuring marketing campaign effectiveness in Brazil, significantly reducing false positive rates and increasing experiment capacity. Led causal measurement for high-value marketing campaigns using advanced experimental methods to provide accurate ROI data for budget allocation.
Data Scientist at Hotmart
May 1, 2022 - November 1, 2024
Developed and deployed an automated daily fraud evaluation pipeline, replacing a manual review process with a robust model that reduced analyst review time by 67%. Optimized fraud detection systems using linear programming, improving precision while maintaining recall stability. Managed production-ready classification models for fraud identification, significantly increasing recall and precision.
Junior Data Scientist at Bankly - Banking as a Service
January 1, 2022 - April 1, 2022
Identified financial losses from strict lifeline score thresholds and implemented a dynamic strategy that increased transaction volume while maintaining acceptable risk levels.

Education

Master’s Degree at Universidade Federal do Ceará
May 1, 2021 - April 1, 2024
Bachelor’s Degree at Universidade Federal do Ceará
March 1, 2017 - May 1, 2021

Qualifications

AWS Certified Cloud Practitioner
July 1, 2022 - July 1, 2027

Industry Experience

Financial Services, Software & Internet

Experience Level

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