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Sobre mim
I am an applied mathematician who uses statistics, machine learning, and software engineering to solve real-world problems. My work ranges from determining what can actually be learned from data to designing and deploying production data and ML systems. I have worked on survival analysis, Bayesian inference, causal modeling, forecasting, computer vision, and large-scale predictive systems. I work across Python, SQL, Spark, Databricks, and Terraform. My approach is problem-first: understand the mathematics and data, then build the simplest reliable solution.... Saiba mais