Beatriz Coimbra is a Data Analyst III with nine years of experience blending mathematical rigor and applied data science across healthcare, legal tech, and finance. With a Master's in Applied Mathematics from FGV, she developed four distinct predictive models for chord recognition from raw audio during her research, illustrating strong signal-processing and model-design skills. She has built ML solutions for time series and NLP, productionized models via APIs, and handled end-to-end data pipelines using Python, SQL and BigQuery. Her background includes applied research at FGV on Brazilian judicial data and practical BI work at Órama where she automated routines and improved commercial performance through predictive modeling. Now at Autodesk after a stint as a MSc-level data scientist at Nexilis, she combines academic depth with hands-on product delivery. Fluent in Portuguese and English with intermediate French, she brings a rare mix of theoretical modeling expertise and production-focused engineering.
9 years of coding experience
Internship, Computer Science, Internship, Computer Science at Fundação Oswaldo Cruz
Contributions:5 PRs, 36 pushes, 2 branches in 2 years 6 months
coimbraprojetodosdisciplinasales
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