Camila Onofri

Data Scientist IV

La Plata, Buenos Aires, Argentina
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Summary

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Senior
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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.
code9 years of coding experience
job3 years of employment as a software developer
bookInglés, Inglés at Centro de Lengua Inglesa, City Bell
bookMandarin, Mandarin at Instituto Confucio
bookAnalista Programador Universitario, 8,85, Analista Programador Universitario, 8,85 at Facultad de Informática within Universidad Nacional de La Plata
languagesSpanish, English, Chinese
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1,010reputation
171kreached
16answers
10questions
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Github Skills (51)

clustering-algorithm10
hierarchical-clustering10
fastapi9
jwt9
clustering9
cluster-analysis8
clustering-evaluation8
hdbscan8
mining8
lda8
machine-learning7
stream7
machine-learning-algorithms7
moa7
tkinter6

Programming languages (4)

JavaJavaScriptJupyter NotebookPython

Github contributions (5)

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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
storedcsvparameterspythondbcv
Contributions:176 commits, 92 pushes, 1 branch in 2 months
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