Alice Adativa is a Data Scientist with 11 years of experience who currently applies ML and AI to revenue management at Ambev Tech, bringing deep expertise in search, ranking, personalization, urban computing and IoT. She has a strong track record of taking models from hypothesis and EDA through deployment, monitoring and experiment design, and has influenced product and strategic decisions at QuintoAndar and other organizations. Her academic background in Urban Computing (MSc, partial PhD) underpins a specialty in geospatial analysis and large-scale data pipelines using Python tooling like GeoPandas and Dask. She pairs hands-on engineering—sensor and embedded systems experience earlier in her career—with teaching and mentorship roles, having lectured on data science and geographic analysis. Colleagues value her ability to translate technical findings into clear recommendations for non-technical stakeholders and to design data products that improve user experience and business metrics.
11 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at FUCAPI
Doctor's Degree (not finished) Urban Computing, Doctor's Degree (not finished) Urban Computing at Universidade Federal do Amazonas
Certificate program Informatics, Certificate program Informatics at Fundação Nokia de Ensino
Curso apresentado pelo PyLadies Manaus em Maio de 2018
Contributions:11 commits, 3 pushes, 1 branch in 1 month
data-analysispythonpyladiesdata-sciencepython3
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Alice Adativa - Data Scientist (Revenue Management)