Scouting report
Belize economist coding causal-inference research and a local AI podcast tool
assessed from open-source footprint
Camilo is an applied microeconomist and IDB country economist in Belize who codes for research, working in Stata and Python. His repos include genuine original work: Stata pipelines estimating the causal effects of tropical storms on labor markets, and BriefCast-AI, a local multimodal PDF-to-podcast app built on Ollama and Kokoro. The audience is academic so there are no stars, but the work is real, recently active, and reflects strong data and causal-inference depth rather than generic web building.
Authorship & open source
What they build
Industry experience
- Data, ML & AI
- Media & Streaming
Signal breakdown
0
5
0% forks
1
11.3 yr
0
Active
80% stale
Strengths
- Verified author — wrote 100% of commits on BriefCast-AI
- Original builder — 5 of their own repositories
- Frontend focus with Backend
- Domain experience in Data, ML & AI & Media & Streaming
- Core stack: Stata, Python, HTML
About
Skills
- Stata
- Python
- HTML
- Agriculture Research
- Web Scraping
Featured work
BriefCast AI
Local multimodal PDF-to-podcast app using Ollama for document understanding and Kokoro for voice synthesis.
- Python
by Camilo Pecha
Stata For Tropical Storms Causal Effect
Do files for the data creation, cleaning, and structural estimation of the causal effects of tropical storms on labor market
- Stata
by Camilo Pecha