👨🏻💻 My work
💼 Current Roles
📍 Consultant in Data Science & Research (07/2024 – Present)
My expertise spans the entire data pipeline—designing ETL systems, conducting causal inference, and implementing machine learning models (including Generative AI solutions). Current services include:
- End-to-end data science and AI development, including RAG pipelines and chatbot solutions
- Research support (survey design, causal analysis, data visualization)
- Tailored training and workshops in data science and programming fundamentals
I have partnered with NGOs, public agencies, think tanks, and private firms to offer data-driven solutions. If you think I can help you in any way, please reach out at felipe.lamarca@hotmail.com.
Feel free to explore my open-source projects here or on my GitHub profile.
📍 Data Scientist & Researcher @ Instituto Rio21 (04/2022 – Present)
I conduct quantitative research (such as opinion polls and social surveys), focusing on data collection, analysis, and visualization. I have participated in projects like the Municipal Management Assessment Survey and Election Polls, while collaborating with Aliança CentroRio to transform citywide conservation and security data into actionable intelligence.
On a day-to-day basis, I use Python and R to build statistical analyses, interactive maps, and dashboards. I also automate post-stratification processes for survey data and develop geoprocessing solutions for mapping projects.
📍 Data Science Consultant @ Study Group on New Illegalisms (GENI/UFF) (01/2025 – Present)
I build custom tools for data extraction and analysis, particularly those leveraging large language models. This includes creating Retrieval Augmented Generation (RAG) pipelines and solutions to automatically format unstructured data.
📍 Research Assistant @ FGV EBAPE (02/2025 – Present)
I am part of a project to systematize databases for election results from the 1970s, using OCR and large language models to digitize and format historical documents. I work under the supervision of Prof. Cesar Zucco, Ph.D.
📁 Past Work
📍 Data Science Consultant @ Brazilian Center for Analysis and Planning (CEBRAP) (10/2024 – 02/2025)
I provided technical data analysis services—ranging from OCR techniques to language model applications—for the Center for Critical Imagination project under José Szwako, Ph.D.
📍 Data Science Intern @ Strategic Planning Superintendence, FGV (10/2024 – 12/2024)
I integrated advanced Generative AI techniques into institutional data pipelines, identifying opportunities for automation and process improvement. I also prepared presentations for C-level executives, including the President of FGV.
📍 Part-time Data Scientist @ Visagio (01/2024 – 06/2024)
I worked on optimization, pricing, A/B testing, and data pipeline automation with SQL. I developed Power BI dashboards and presented KPI-driven insights to senior management.
📍 Student Consultant @ Brazilian Sailing Confederation (08/2023 – 12/2023)
I collaborated with colleagues to develop a ranking model for Brazilian sailors, integrating web scraping and machine learning to analyze regatta performance.
📍 Junior Research Fellow @ FGV CPDOC (06/2019 – 09/2022)
Supported by an FGV/CNPq scholarship under the supervision of Prof. Jaqueline Porto Zulini, Ph.D., I examined Executive-Legislative relations in the early 20th century, applying both qualitative methods and introductory quantitative text analysis.
📚 Teaching Assistance
Semester | Course | Institution | Professor |
---|---|---|---|
2024.2 | Quantitative Methods II | FGV CPDOC | Jairo Nicolau, Ph.D. |
2020.2 | Introduction to R | FGV CPDOC | Jimmy Medeiros, Ph.D. |
(Previously, I also worked on “Digital Literacy” projects and translated materials for the Programming Historian in Portuguese in partnership with Universidade Nova de Lisboa.)
📜 Training & Workshops
[July 2024] Summer Institute in Computational Social Sciences (FGV ECMI)
Collaborated with international researchers on computational social science projects during a two-week program.[July 2024] ML4Good (Centre pour la Sécurité de l’IA and EffiSciences)
Ten-day bootcamp on AI Safety, focusing on alignment, governance, and responsible AI development.
📞 References
Name | Institution | |
---|---|---|
Prof. Jaqueline Zulini, PhD | School of Social Sciences (FGV CPDOC) | jaqueline dot zulini at fgv dot br |
Prof. Luiz Max Carvalho, PhD | School of Applied Mathematics (FGV EMAp) | luiz dot fagundes at fgv dot br |
Prof. Renato Rocha Souza, PhD | University of Vienna | renato dot rocha dot souza at univie dot ac dot at |
Prof. Danielle Sanches, PhD | School of Communication, Media and Information (FGV ECMI) | danielle dot sanches at fgv dot br |
Prof. Jimmy Medeiros, PhD | School of Social Sciences (FGV CPDOC) | jimmy dot medeiros at fgv dot br |