๐จ๐ปโ๐ป My work
What I have been doing lately and what I have done in the past
๐ผ Current Roles
Data Scientist @ AtlasIntel
AtlasIntel provides advanced data products for political intelligence and economic forecasting.
Researcher @ MAPE
MAPE is dedicated to studying public policies, elections, and their connections. Our goal is to improve academic production on the subject and to have a decisive impact on public debate. In particular, we combine different methodologies to study policies and elections, including causal inference techniques and machine learning.
If you think I can help you in any way, please reach out at felipe.lamarca@hotmail.com.
๐ Past Work
๐ Consultant in Data Science & Research (07/2024 โ 06/2025)
Provided end-to-end data and AI solutions (ETL, ML, Generative AI, RAG), research support, and training.
Selected consulting projects:
- ๐ Artplan: Deep Learning for social media segmentation
- ๐ Fundaรงรฃo Roberto Marinho: AWS data lake, dashboards (Streamlit and Power BI), Python/ML training
- ๐ CEBRAP: OCR, LLMs, and quantitative research support for Prof. Josรฉ Szwako
- ๐ Plataforma CIPร: Training in ML and data analysis
- ๐ GENI/UFF: Built LLM and RAG-based data tools
๐ Data Scientist & Researcher @ Instituto Rio21 (04/2022 โ 06/2025)
I conducted quantitative research such as opinion polls and other surveys such as the [Municipal Management Assessment Survey] and [Election Polls]. I also collaborated with Alianรงa CentroRio to transform citywide conservation and security data into actionable intelligence.
๐ Research Assistant @ FGV EBAPE (02/2025 โ 04/2025)
I worked on a project to systematize databases for election results from the 1970s, using OCR and large language models to digitize and format historical documents. I worked under the supervision of Prof. Cesar Zucco, Ph.D.
๐ Data Science Intern @ Strategic Planning Superintendence, FGV (10/2024 โ 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.
๐ Part-time Data Scientist @ Visagio (01/2024 โ 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.
๐ Student Consultant @ Brazilian Sailing Confederation (08/2023 โ 12/2023)
I collaborated with colleagues to develop a ranking model for Brazilian sailors, integrating web scraping and machine learning to analyze regatta performance.
๐ Junior Research Fellow @ FGV CPDOC (06/2019 โ 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.
๐ 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 โDigital Literacyโ projects and translated materials for the Programming Historian in Portuguese in partnership with Universidade Nova de Lisboa.)
๐ 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 |