Vancouver, BC

Data Science / AI / Products / Entrepreneurship

I turn ideas into products.

I've spent the last several years moving between startups, machine learning systems, growth experiments, AI products, and a few businesses of my own. What ties it together is figuring out how things work, how they grow, and where data and AI can have a meaningful impact.

What keeps me interested is the possibility of turning ideas into things that people actually use. Whether it's a fraud model evaluating thousands of decisions every day or a product reaching its first users, I find the greatest satisfaction in seeing technology move beyond prototypes and into the real world.

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My own products

Live product · Founder

Applied & Ghosted

A little terminal energy. A lot of stubborn engineering.

I thought my resume was fine. Then Jobscan scored it like a sad trombone. The resume wasn't "bad", it just wasn't speaking ATS. Every application needed a tailored version, and every paid tool wanted a subscription that felt rude when you don't have a job yet.

So: Applied & Ghosted. Help people get interviews without selling a kidney for keyword matching.
Score against the job description, show what to keep and what to fix, optimize, download, send.
The vibe is playful on purpose. Job hunting is already bleak. Repeat until someone human actually replies.

Visit appliednghosted.com

ATSResume optimizationLLMsLocal-firstProduct

Live product · Founder

brewo

An AI-powered newsletter for Latin American startups, tech & finance

Brewo began with a simple question: what if a small crew of AI agents could research and write a genuinely good newsletter every day? So I built it. The idea, the product, and the pipeline behind each issue, covering startups, tech, and finance across Latin America.

A small crew of AI agents that research, summarize, translate, and draft each issue.
The whole product around it: site, subscriptions, payments, and delivery.
Constant tinkering based on what subscribers actually open and read.

Visit brewo.io Subscribe

Gen AIRAGMulti-agent workflowsProduct developmentGrowth

Projects

A mix of things I've built, some at work and some on my own. They look unrelated until you notice they're all me poking at the same question from different angles.

FounderMexico City · Food delivery

MunchGo, a multi-brand ghost kitchen

A delivery-only kitchen in Mexico City running three brands out of one space: MunchGo, WingsEat, and Munchin' Dogs. I chose the menus, pricing, and positioning by digging through Yelp and maps data to find gaps the competition had left open.

Founder & operator

Open sourcePython · PyPI

Megumi

An open-source Python package for feature selection. I built it mostly because I kept rewriting the same selection code on every project and figured others probably did too.

View on PyPI

RAGStreamlit · Python

Amazon_InsightCart

A shopping assistant that searches Amazon products with hybrid retrieval and re-ranking, then answers in plain language with the sources to back it up.

View on GitHub

TeamLLM evals · Python

AiEO-Visibility-Challenge

An experiment in how well GPT, Gemini, and Claude actually know Canadian life and business, using the same prompts, parallel runs, and BM25-based scoring to compare them fairly.

View on GitHub

DashboardPlotly Dash · Yelp

Canada Food Pulse

An interactive map of Canada's food scene built from public Yelp data. A small excuse to poke at a question I find fun: what makes a place worth opening?

Open live app

Where I've worked

Startups, a unicorn, and a global brand. Different settings, but mostly the same job: find where data and AI can help a business grow.

Kueski

Senior Data Scientist

Fintech · Fraud & Risk

Rappi

Growth Data Scientist

On-demand delivery unicorn · Growth

Heineken

Growth Data Scientist

CPG · B2B e-commerce · Growth

Insaite

Data Science Sales Engineer

AI startup · Strategy & consulting

Axity

Junior Data Scientist

Digital transformation · Consulting

About me

Hi, I'm Elí.

I'm a data scientist, AI engineer, and entrepreneur who enjoys turning messy questions into useful products, systems, and decisions.

Over the years I've worked across fraud prevention, growth experimentation, machine learning, and AI products in startups, fintech, marketplaces, and consumer businesses. What keeps me interested is the challenge of understanding a problem, identifying what matters, and turning ideas into something people actually use.

The work I'm most proud of isn't necessarily the most technical. It's the products, models, and systems that ended up influencing real decisions and reaching real people, whether that's a fraud model evaluating thousands of applications, an experiment shaping product strategy, or an AI product finding its first users.

When I'm not working, I'm usually building something: AI products, open-source software, side businesses, or writing about what I learn along the way.

// profile

Based in: Vancouver, BC
Experience: 6+ years
Currently: Building products

Work

Six years across fintech, a Latin American unicorn, and a global consumer brand. A few of the problems I got to chew on along the way.

Kueski BNPL Fintech · Mexico

Senior Data Scientist

Owned production fraud ML end to end. Cut false positives by 65% and fraud losses by 70%, and added graph analysis to surface fraud rings that single-account models kept missing.

Heineken Global CPG · B2B e-commerce

Growth Data Scientist

Ran a subscription experiment that lifted revenue 16%, and built an NLP pipeline that sorted incoming customer reviews to the right team in under two minutes.

Rappi Unicorn · On-demand super app

Growth Data Scientist

Built marketing attribution to see which channels actually paid off, and ran A/B tests on vendors and creatives with causal impact analysis to separate signal from noise.

Insaite AI startup · Mexico

Data Science Sales Engineer

Sat between data science and the sales conversation, scoping ML solutions and explaining, in plain terms, what they'd actually do for a C-level client's business.

Axity Digital transformation consultancy

Junior Data Scientist

My first role in data. EDA and feature engineering on client projects, where I learned to ask the right questions before reaching for a model.

Education

Master of Data Science

University of British Columbia · Vancouver, BC · 2025–2026

Data Science & Machine Learning Certification

Massachusetts Institute of Technology · 2022

Bachelor of Actuarial Sciences

Universidad Nacional Autónoma de México · Mexico City · 2020

What I work on

Less a list of tools, more the handful of areas I keep coming back to, and how they tend to feed into each other.

Machine Learning

Training models that hold up outside a notebook: fraud, risk, NLP, and the unglamorous production parts that decide whether any of it matters.

Pythonscikit-learnFraud & riskNLPFeature engineering

Generative AI

LLM-powered products and agentic workflows. Fun precisely because the whole field is still half figured out.

LLMsRAGMulti-agent workflowsClaude / GPTEvals

Experimentation & Causal Inference

A/B tests, causal impact, and the constant, healthy fight against fooling yourself with a misleading chart.

A/B testingCausal inferenceAttributionStatistics

Product Analytics

Understanding how a product is actually used, then turning that into decisions someone can act on.

SQLGrowth metricsDashboardsPlotly Dash

Product Development

Taking an idea all the way to something people can open in a browser and use.

Next.jsSupabaseStripeFull-stack

Entrepreneurship

Starting things, pricing them, and learning the parts of a business the spreadsheet never warns you about.

FoundingOperationsGo-to-marketPricing

Open Source Software

Packaging the useful bits of my work so other people can pick them up and skip the boring part.

Python packagingPyPIDocsTesting

Right now

I just finished my Master of Data Science at UBC. Still digging into ML systems, LLM applications, and the analytics that help products and teams make better calls. Still building things on the side.