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Nícolas BeharNB
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Nícolas Behar

@ncolasbehar

I build production machine learning, causal inference, and quantitative systems that improve decisions and efficiency.

Brazil
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What I'm looking for

I'm looking to build and deploy reusable, well-tested machine learning and quantitative solutions for real-world decision-making, optimization, and operational impact.

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

HI

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.

DA

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.

BB

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.

NN

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.

GU

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 logoFE

FGV EESP

MSc, Financial Engineering

2023 - 2025

Master's degree in Financial Engineering from FGV EESP, completed between 2023 and 2025.

UFABC logoUF

UFABC

BSc, Aerospace Engineering

2011 - 2018

Bachelor's degree in Aerospace Engineering from UFABC, completed between 2011 and 2018.

UFABC logoUF

UFABC

BSc, Science & Technology

2011 - 2016

Bachelor's degree in Science & Technology from UFABC, completed between 2011 and 2016.

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