SUPER — Ministry of Economy
Product leadership for the state digital permitting platform, coordinating engineering, public agencies and policy teams.
Public-sector platformIndependent data & policy practice
I build data systems and evidence for complex decisions.
Forecasting, applied AI and impact evaluation for organizations working with real operational and institutional constraints.
Based in Santiago, working across public policy, operations and applied data science.
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Selected work
Systems built where data, institutions and day-to-day decisions meet.
OTEI — University of Chile
Data infrastructure for the investment-permitting observatory: databases, expert surveys and the web platform behind its continuous analysis.
View projectSueldos
A public salary explorer for the Chilean labor market. Search, compare and visualize wage data across occupations and regions.
Open explorer02
Capabilities
Focused technical work, connected to the decision it needs to improve.
Applied AI for operational workflows
Documents → classification → human review
PYTHON · LLM APIS · RAGForecasting and decision systems
History → forecast range → planning decision
DATABRICKS · PYSPARK · SQLPolicy analysis and public systems
Data → evaluation → policy evidence
EVALUATION · SURVEYS · GOVTECHSoftware delivery, orchestrated
Scope → partner build → owned data layer
AWS · R · SHINY · PYTHON03
Built for real operating conditions.
A practical path from an ambiguous problem to a system your team can keep using.
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Define the decision
What changes if the analysis is right, and who acts on it.
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Build the evidence
Pipelines, models and indicators fitted to the sources that exist.
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Test under constraints
Legacy systems, missing data and institutional timelines — before delivery.
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Deliver usable systems
Documented and maintainable by your team, not by a slide deck.
Santiago, Chile · 33.45°S04
Alfredo Iñiguez
Economist and data scientist. I spent four years inside the Chilean Ministry of Economy leading SUPER, the state digital permitting platform, and worked at FAO United Nations building models to evaluate agricultural policy.
That background shapes how I consult: I have shipped systems inside institutions, so I design for the constraints — legacy data, procurement and political timelines — that technical work often ignores.
2026— Astra AI · Data Scientist2025— OTEI, U. de Chile · Researcher2022–25 Min. Economía · Product Owner, SUPER2021 FAO UN · Technical Advisor
Curriculum (PDF)05
Tell me about your problem.
A dataset that no one trusts, a forecast that keeps missing, a process you need evidence to change — start there.