Available for new projects

Economist & Data Scientist

10+ years turning data into decisions.

I'm an economist working at the intersection of data, economics and code. I don't stop at analysis: I understand the business problem and build the system that solves it — from the economic model to the data pipeline and the AI app in production.

a=argmaxa  E ⁣[U(a)data]a^{*} = \arg\max_{a}\; \mathbb{E}\!\left[\, U(a) \mid \text{data} \,\right]
Optimal decision under uncertainty

Santiago, Chile · Working remotely · International billing

Tomás Fernández
10+
Years turning data into decisions
40+
Projects for companies, NGOs & institutions
UN
Consultant at ECLAC (United Nations)
1
Patent · deep learning

Selected work

Solutions that solve the real problem

I don't sell hours, I deliver solutions. Every project starts from the right business question, then combines economic rigor and data engineering until it works in production.

AI systems

RAG assistants & AI-powered apps

Challenge

Teams drowning in scattered documents and data, with no fast way to query their own knowledge.

Solution

Design and implementation of RAG systems and custom web apps that put AI to work on each organization's real data, with reliable, traceable answers.

PythonLLMsRAGNext.jsVector DB
Data & dashboards

Data systematization for companies & NGOs

Challenge

Messy databases and manual reports that ate up days of work every month.

Solution

Full data systematization with reproducible pipelines and interactive dashboards that turn raw data into decisions, in real time.

PythonSQLETLDashboardsVisualization
Economic analysis

Impact studies & causal inference

Challenge

Policy and business decisions that needed solid evidence, not intuition.

Solution

Economic impact studies and international trade policy analysis using causal inference, machine learning and projection methods.

EconometricsCausal inferenceMLRPython
Training

AI training for teams

Challenge

Organizations that wanted to adopt AI but didn't know where to start or which use cases to prioritize.

Solution

Hands-on training on real Artificial Intelligence use cases, tailored to each team's context and workflows.

Applied AIWorkshopsUse casesPrompting

My Approach

At the Intersection

My research develops at the convergence of four key areas that are transforming today's world.

01Artificial Intelligence
02International Trade
03Geopolitics
04Employment Effects
tomasdata.io

Interact with the diagram to explore the connections between these areas

01

Artificial Intelligence

Research on how AI is transforming economic processes and global trade relations. Analysis of impacts on productivity and inequality.

02

International Trade

Analysis of trade patterns, agreements, and policies that define the global exchange of goods and services. Study of global value chains and regionalization.

03

Geopolitics

Study of how power relations between nations influence economic and commercial decisions. Analysis of technological and commercial tensions between powers.

04

Employment Effects

Assessment of the impact of technological and commercial transformations on labor markets. Analysis of labor polarization and new forms of work.

Track record

From fieldwork to cloud architecture

I started generating data by hand and ended up designing data architecture for the United Nations. That path is exactly why I ship solutions that work.

  1. Now

    Consultant · Data & Economic Modeling

    ECLAC (United Nations)

    Database architecture design and economic modeling within the International Trade and Integration Division. In parallel, independent consulting for companies and NGOs.

  2. Research

    Patent author · Deep Learning

    Educational trajectory analysis

    A patent applying deep learning to educational trajectory analysis. Applied research at the intersection of AI, international trade and employment.

  3. Consulting

    Data products across industries

    Mining, agribusiness, trade & sustainability

    Independent projects for companies and institutions —including the Chilean Ministry of Science and the Sustainable Fisheries Partnership Foundation (USA). From the business problem to infrastructure and models.

  4. Building

    From raw data to working systems

    Co-founded SMEs · Labor market intelligence

    Years generating data from scratch: relational databases for SMEs I co-founded, and scraping job boards to build labor market intelligence platforms.

  5. Fieldwork

    Generating data at the source

    Coastal Chile

    I started surveying fishermen in coastal Chile. Business context first, infrastructure next, models last — that's how I've thought ever since.

  6. Foundation

    Master's in Economics

    Universidad de Chile

    Econometrics, causal inference and quantitative methods. The formal grounding behind every system I deliver.

Trusted by

Companies, institutions and organizations I've worked with.

CEPAL · UN logo
Ministerio de Ciencia logo
Sustainable Fisheries Partnership logo
Boreal Ridge Corporation USA logo
FEN UChile logo
IEI UChile logo
PROA Consulting logo
Manare
Orsan
Universidad San Sebastián logo
Universidad de Concepción logo
& more

Got a problem to solve?

If you have a data, AI or economic analysis project —or just want to explore a collaboration— book a call. I reply fast.