Analytics engineering applied ML

I help teams turn fragmented data into decisions they can trust.

I’m Nico Contreras, a data consultant and analytics engineer. I connect business systems, build reliable analytics foundations, and prototype applied ML for real workflows when it earns its place.

Explore selected work About Nico

Barcelona ✳ Working across Europe ✳ Analytics engineering + applied ML

Nico Contreras in a white shirt and pale green bow tie

Nico Contreras · BarcelonaData · Analytics · Applied ML

Clear questions lead to better decisionsSources are ingredientsModels need a jobBuild · learn · improve

01 / How I help

From fragmented data to clear action.

I start with the decision a team needs to make. Then I connect the relevant sources, make the data reliable, and deliver analytics or ML that fits the way people work.

That can mean clearer reporting, a dependable data foundation, or a focused ML prototype—not more technology for its own sake.

▦Connect business dataCommerce · marketing · customer · operations

⌁Build trusted analyticsClear definitions · models · pipelines

◫Make performance clearDecision-ready reporting · shared metrics

✳Apply ML with purposeModels for real workflows

02 / Selected work

Practical work, grounded in real questions.

I work from the business need back to data foundations, delivery, and results teams can use.

Commerce analytics · ongoing01

Namastecita: making store data useful.

I built a reporting foundation for my own e-commerce business, bringing Shopify, marketing, search and operations data together to support decisions across sales, acquisition and fulfilment.

ShopifyBigQuerydbtLooker Studio

Dedicated case page in progress

Applied ML · proof of concept02

Spotto: event photo search built around privacy.

A privacy-conscious photo finder for events. Guests use a temporary selfie to find their photos and receive a private gallery. The PoC works; I’m developing the authentication, retention and deletion flows.

Amazon RekognitionS3 · LambdaDynamoDBFastAPI

Dedicated project page in progress

Teaching · dbt & Git03

Helping people make technical ideas click.

I teach Git and dbt at Le Wagon using practical examples and clear explanations. Teaching has sharpened a skill I use with clients: making technical choices understandable to the people who need to act on them.

Le WagonData engineeringMentoring

A teaching prop I actually used

“What if we explain Git branches with coloured paper?”
— surprisingly effective

03 / Field notes

Notes from the work.

Short, practical notes on data, ML, and what I learn while building. No posting schedule.

First note · in preparation

A model needs a clear job: start with the decision.

Before choosing a model, identify the decision or workflow it should improve, the data it needs, and how you will know the result helped.

Short notes · practical examples

Nico Contreras outdoors on a mountain trail

Nico Contreras · BarcelonaOutside the dashboard, too

04 / About Nico

I bridge business questions and data systems.

I’m an analytics engineer and data consultant with experience across marketing, e-commerce and data platforms. I work from the business question back to the sources, models and workflows that can answer it.

I’ve built reporting foundations for my own business, led delivery with cross-functional teams, and taught Git and dbt. I’m now applying that foundation to practical machine learning.

Clear thinking. Reliable data. Useful delivery.

For teams facing a data challenge

Let’s make the next step clear.

I work with European teams on analytics engineering, data platforms and applied ML. The right approach starts with the decision you need to make.

Public contact route still needed before launch.

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