BEATRICE SILVA FERNANDES
So Paulo
Summary
Highly skilled Senior Data Scientist with over 6 years of experience in the field of Data Science, specializing in Natural Language Processing (NLP) and machine learning. Possesses an MBA in Data Science and Analytics from Universidade Estadual de Campinas (UNICAMP), combining advanced statistical modeling with real-world data analysis expertise. Proficient in Python software development and experienced in the full lifecycle of machine learning projects, from data collection and preprocessing to deployment and monitoring. Adept at leveraging NLP techniques, large language models (LLMs), and machine learning frameworks to derive insights and build efficient, scalable solutions for complex business challenges.
Overview
7
7
years of professional experience
Work History
Senior Data Scientist
Vox Radar
So Paulo
01.2024 - Current
- Lead the development and deployment of Natural Language Processing (NLP) solutions to process and interpret large-scale textual data from diverse sources
- Extensive experience in fine-tuning and deploying state-of-the-art large language models (LLMs) such as GPT, BERT, and their open-source equivalents for various NLP tasks including text classification, summarization, and sentiment analysis
- Spearheaded the design and implementation of Retrieval-Augmented Generation (RAG) systems, improving the accuracy and efficiency of information retrieval tasks
- Developed machine learning pipelines for complex tasks such as clustering, classification, and recommendation, utilizing libraries like pandas, numpy, scikit-learn, pytorch, and spacy
- Worked with advanced data collection techniques including asynchronous web scraping using Playwright, Selenium, and other Python-based libraries
- Managed and optimized the operationalization of vectorized databases using Postgres and ElasticSearch to ensure fast and accurate data retrieval
- Collaborated cross-functionally to ensure the delivery of robust, scalable Python-based solutions adhering to the best practices of software development
Researcher
Caeni UNICAMP
So Paulo
01.2018 - Current
- Engaged in research at the intersection of political science and data science, applying econometric techniques, machine learning, and NLP to understand complex political systems
- Led data science projects focusing on the relationship between mass media and political actors using NLP and computer vision methodologies
- Published a research paper on the dynamics of Brazil's executive-legislative relations, funded by the So Paulo Research Foundation (FAPESP), utilizing web scraping and data processing techniques
- Delivered short courses on integrating data science, NLP, and machine learning into the social sciences, helping students understand quantitative methodologies in political analysis
Data Scientist
Vox Radar
So Paulo
02.2022 - 12.2023
- Developed and deployed machine learning models focused on NLP, leading to improvements in the automation of data analysis and decision-making
- Conducted advanced feature engineering and statistical analysis to enhance the accuracy and performance of predictive models
- Contributed to the creation of end-to-end data science workflows, from data ingestion and preprocessing to model training and validation
Data Scientist
Plano CDE - Pesquisa, Inovao, Impacto
So Paulo
03.2020 - 08.2020
- Conducted data collection and analysis for socio-economic research using microdata from the Brazilian Institute of Geography and Statistics (IBGE), with a focus on social classes C, D, and E
- Implemented data preprocessing techniques and built statistical models to derive actionable insights from large-scale datasets
Fellow in the Social Innovation Program
USP Innovation Agency
So Paulo
11.2018 - 03.2020
- Co-founded and served as Communication Coordinator for Marabunta Brasil, managing a team of 9 volunteers in creating and disseminating content on public policy and organic food production
- Conducted comprehensive research on the organic food supply chain, exploring public policies and market trends to drive strategic decisions for the organization
Research Fellow
FAPESP Research Fellowship
So Paulo
06.2019 - 01.2020
- Awarded a research grant from the So Paulo Research Foundation (FAPESP) for a project analyzing Brazil's executive-legislative dynamics through data science methodologies
- Employed web scraping, natural language processing, and econometric models to analyze legislative documents, resulting in a publication in the Brazilian Political Science Review
Education
Master of Business Administration (MBA) - Data Science and Analytics
Universidade Estadual de Campinas (UNICAMP)
05.2023
Bachelor's Degree - History
Pontifícia Universidade Católica de São Paulo (PUC-SP)
01.2020
Skills
- Python
- R
- SQL
- Pandas
- Numpy
- Scikit-learn
- Statsmodels
- Pytorch
- Spacy
- NLP
- Fine-tuning large language models (LLMs)
- Topic modeling
- Clustering
- Classification
- Regression analysis
- Web scraping (Playwright, Selenium)
- Database design (Postgres, ElasticSearch)
- Data transformation
Websites
Timeline
Senior Data Scientist
Vox Radar
01.2024 - Current
Data Scientist
Vox Radar
02.2022 - 12.2023
Data Scientist
Plano CDE - Pesquisa, Inovao, Impacto
03.2020 - 08.2020
Research Fellow
FAPESP Research Fellowship
06.2019 - 01.2020
Fellow in the Social Innovation Program
USP Innovation Agency
11.2018 - 03.2020
Researcher
Caeni UNICAMP
01.2018 - Current
Master of Business Administration (MBA) - Data Science and Analytics
Universidade Estadual de Campinas (UNICAMP)
Bachelor's Degree - History
Pontifícia Universidade Católica de São Paulo (PUC-SP)
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