[PATRICIA TOZI]

Data Pipeline:
Brazilian Federal Revenue

Open Source Project

The project aims to process and structure public CNPJ data from the Brazilian Federal Revenue, creating an automated and reliable data pipeline. Its impact is the delivery of clean, consistent, and high-quality business data, enabling transparent analysis and data-driven decision-making.

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POC:
Cleansing Rules

Dell Technologies

The project aimed at improving the quality of data consumed by models developed and maintained by Data Scientists. This project involved extensive collaboration with the Data Quality and Data Governance teams (Data Stewards) to establish and enforce data cleansing rules.

Data Pipeline:
LATAM Data Lake

Bayer

The solution involved the development of a centralized Data Lake for LATAM to consolidate all people-related data, supported by the implementation of a tailored Data Architecture that enables personalized data views for different regions. This included the end-to-end management and optimization of the data pipeline to ensure efficient collection, storage, processing, and access.

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Data Girls

Tech Community Manager

Extension of the entity Neuron - Data Science and Artificial Intelligence, with the aim of boosting female engagement in data science, artificial intelligence and related topics so that we can encourage and strengthen an active community of women in this field.

WoMakersCode

Data Science & AI Member

WoMakersCode is a nonprofit organization, where the goal is to empower women in technology, beyond the code, challenging the person behind the codes and inspiring her to conquer more. We want to transform the world with people, who use and make technology.

Mafalda - Meraki

Exact Sciences Teacher

The Mafalda Popular Course is a preparatory course for university, founded in São Paulo in 2011. From the beginning, the aim was to be a pre-university course and not a pre-university course.