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Why Chile does not quantify the fiscal risk of its disasters (and Spain does)

Public Economics

Why Chile does not quantify the fiscal risk of its disasters (and Spain does)

Comparative technical note: contingent liabilities, catastrophe bonds, and the role of independent fiscal institutions in Chile (DIPRES, CFA) and Spain (AIReF, CCS).

#fiscal risk#contingent liabilities#cat bonds+2
Alonso Valdés2026-06-23
From internal masterclasses to operating judgment for regulatory RAG

Applied AI

From internal masterclasses to operating judgment for regulatory RAG

How I structured a study system around evals, retrieval, and production to turn applied AI knowledge into verifiable decisions for fiscal and regulatory corpora.

#evals#retrieval#rag+2
Alonso Valdés2026-06-13
Designing an LLM broker without selling arbitrage hype

LLM Infrastructure

Designing an LLM broker without selling arbitrage hype

Architecture notes from an OpenAI-compatible v1 with public aliases, prepaid credits, LiteLLM, a batch worker, and a more sober thesis than reselling cheap tokens.

#llm#openai compatible#litellm+2
Alonso Valdés2026-06-13
Classifying the geographic scope of papers with structured outputs

Document AI

Classifying the geographic scope of papers with structured outputs

A small pipeline for turning academic PDFs into auditable JSONL: explicit countries, regional/global scope, main conclusion, and Latin America signals.

#openai#structured outputs#pydantic+2
Alonso Valdés2026-06-13
OFTW Challenge: speed, focus, and a concise story that reached the podium

Data Visualization

OFTW Challenge: speed, focus, and a concise story that reached the podium

A minimum viable pattern for challenges: clean what matters, choose a core metric, and build three views that explain the story. Third place in the Plotly x OFTW challenge.

#plotly#dash#challenge+2
Alonso Valdés2025-09-25
MTA Ridership: a recovery narrative that won first place

Data Visualization

MTA Ridership: a recovery narrative that won first place

A clear story told with three key views and a focused UX to understand NYC transit recovery. First place in the Plotly community Holiday Season App Challenge.

#mta#nyc#plotly+2
Alonso Valdés2025-09-25
Hospitales_ESP: from scattered public data to usable health intelligence

Public Health

Hospitales_ESP: from scattered public data to usable health intelligence

An open ETL that unifies public hospital data to surface territorial patterns, bottlenecks, and signals for decision-making.

#health data#etl#public data+2
Alonso Valdés2025-09-25
Public procurement tooling: from messy tenders to decision-ready data (redacted)

Data Applications

Public procurement tooling: from messy tenders to decision-ready data (redacted)

Private engagement: a procurement analytics tool with automated ingestion, normalization, and reporting. Screenshots and names are redacted.

#procurement#etl#pipeline+2
Alonso Valdés2025-09-20
Plotly with Python in production: strengths and limits (Pokémon Dashboard case)

Visualization

Plotly with Python in production: strengths and limits (Pokémon Dashboard case)

Practical, sober evaluation of Plotly with Python for interactive visualization, using a Pokémon dashboard as a running example.

#plotly#python#dash+2
Alonso Valdés2025-09-16
PrecioPiso (Master’s): housing price prediction with POI and Streamlit

Data Science

PrecioPiso (Master’s): housing price prediction with POI and Streamlit

Architecture, data and model to estimate housing prices in Spain. Scraping + OSM POI, Random Forest, and Dockerized deployment.

#housing#ml#random forest+3
Alonso Valdés2025-09-16
Chile pension reform modeling: methodology, assumptions, and results

Public Economics

Chile pension reform modeling: methodology, assumptions, and results

Actuarial modeling of Chile’s pension reform: model structure, data, assumptions, SSP components and sustainability of the Integrated Pension Fund (FIP).

#pensions#public policy#microsimulation+1
Alonso Valdés2025-09-02