
Nícolas Behar
@ncolasbehar
I build production machine learning, causal inference, and quantitative systems that improve decisions and efficiency.
What I'm looking for
I'm building and evaluating production AI and quantitative systems across healthcare, finance, trading, credit risk, and cloud optimization.
At Hapvida NotreDame Intermédica, I lead Difference-in-Differences and Synthetic Control evaluations for AI models, measuring impacts on medical staff productivity, error rates, and adoption. I also standardized experiments for clinical computer vision and built systems to flag medical misclassifications associated with increased patient risk.
At Deméter Agro-solutions, I cut model-training and backtest processing time by up to 70%, moving workflows from days to hours while refactoring monolithic research code into a maintainable, tested multi-file structure with zero production incidents. Previously at Nubank / NuInvest, I helped reduce AWS costs for critical services by more than 50%, built causal marketing models, and developed Spark data pipelines and time-series forecasts.
I've also deployed monitoring and alerting solutions for AML, risk, credit, and sales at Banco BS2, and developed credit-scoring models and data pipelines at Guiabolso. I bring a Financial Engineering master's foundation and hands-on experience with Python, Spark, Scala, SQL, machine learning, econometrics, and systematic trading research.
Experience
Work history, roles, and key accomplishments
Data Science Tech Lead
Hapvida NotreDame Intermédica
Aug 2026 - Present (1 month)
Led the design of Difference-in-Differences and Synthetic Control evaluations for AI models scheduled for deployment, establishing frameworks to measure effects on medical staff productivity, error rates, and adoption.
Data Scientist
Hapvida NotreDame Intermédica
Mar 2026 - Jul 2026 (4 months)
Conducted and standardized targeted experiments on clinical computer vision models to identify failure modes and gaps in chest X-ray disease detection. Developed a system to flag medical misclassifications and surface combinations of exam alterations associated with increased patient risk.
Quantitative Analyst
Deméter Agro-solutions
Aug 2025 - Jan 2026 (5 months)
Led a critical infrastructure initiative to improve model training and backtest code, reducing processing time by up to 70%. Mentored other analysts and refactored feature storage architecture to improve data retrieval and processing.
Data Scientist, Decision Science
Banco BS2
Apr 2024 - Apr 2025 (1 year)
Developed and deployed data-driven alerts for FX, payments, and betting-related activity in collaboration with AML teams and risk leadership. Led technical development of monitoring and alerting solutions and automated ETL processes.
Data Scientist
Nubank / NuInvest
Nov 2020 - Mar 2024 (3 years 4 months)
Supported AWS cost optimization by building models that recommended optimal machine counts, reducing costs by over 50%. Developed causal inference models for marketing campaigns and contributed to internal tooling and open-source FK Learn.
Business Intelligence Analyst, Data Scientist
Guiabolso
Sep 2017 - Oct 2020 (3 years 1 month)
Researched, developed, and monitored machine learning models for credit scoring. Built data pipelines and ETL processes, and automated data-collection processes saving up to 4 hours per day.
Education
Degrees, certifications, and relevant coursework
FGV EESP
MSc, Financial Engineering
2023 - 2025
Master's degree in Financial Engineering from FGV EESP, completed between 2023 and 2025.
UFABC
BSc, Aerospace Engineering
2011 - 2018
Bachelor's degree in Aerospace Engineering from UFABC, completed between 2011 and 2018.
UFABC
BSc, Science & Technology
2011 - 2016
Bachelor's degree in Science & Technology from UFABC, completed between 2011 and 2016.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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