Key Skills

Freelancer Overview

Statistician with 6+ years of experience in fintech, specializing in credit risk modeling, causal inference, and fraud detection. Passionate about interdisciplinary collaboration to drive data-driven decisions. I have worked mostly in the finance industry — on Credit Card, Fraud and Banking Account, but also on Credit Collections and Marketing and Customer Acquisition. I am capable of breaking down problems and creating solutions. I am very good at communicating my work for both an expert and general audiences. In general, I'm both interested and skilled at working with Statistics (Causal Inference, Regression, Experimental Design and Testing, A/B Testing, ANOVA, sampling, Bayesian Statistics), Machine Learning (experienced with Predictive Models, Classification Models, Clustering Methods, Gradient Boosting Trees/LGBM, Unsupervised Learning), Time Series Forecasting, Data Visualization , outlier/anomaly/novelty detection. I am also interested in Model Interpretability (e.g. shaply value/SHAP) and Humane Machine Learning (e.g. fairness decisions). I am comfortable working with Python, Scala, R, Spark, AWS S3, Databricks, Big Data, Kubeflow, SQL. I pursued a Bachelor Degree in Statistics at the University of Campinas with excellence — I entered the course with the highest entrance exam grade and I ended the course with a GPA of 0.83 out of 1.00, the highest GPA among students with regular entrance.

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Education

Work History