Camila Onofri is a Data Scientist IV based in La Plata, Argentina with nine years of experience building production-grade, data-driven products for large marketplaces and financial services. She drove the design and development of scalable automated campaign and deals systems at Mercado Libre and currently applies that product-focused mindset to analytics and experimentation at Despegar. Her background blends strong academic performance in systems and programming with hands-on work in forecasting, recommendation and model monitoring frameworks, and she has coached hiring and internal knowledge initiatives. Fluent in Mandarin and English, she brings cross-cultural communication skills and a research mindset from early work on dynamic clustering and non-stationary data.
9 years of coding experience
3 years of employment as a software developer
Inglés, Inglés at Centro de Lengua Inglesa, City Bell
Mandarin, Mandarin at Instituto Confucio
Analista Programador Universitario, 8,85, Analista Programador Universitario, 8,85 at Facultad de Informática within Universidad Nacional de La Plata
Here, clustering results stored in CSV files are analysed: they are used to generate plots, and also calculate a corresponding DBCV score. The algorithms configuration (stored in a json files) is also retrieved, to see how the parameters influence on the result.
Contributions:49 pushes, 1 branch in 3 years 8 months
Contributions:176 commits, 92 pushes, 1 branch in 2 months
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