PEDRO RUIZ

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Pedro Ruiz
Data scientist &
AI/ML Engineer
  • Residency
    Spanish
  • Current city
    Madrid
Spanish Native
English B2 First
German B2 First
Python
SQL / NoSQL
Matplotlib
Seaborn
AWS
Azure
  • Python libraries (NumPy, Pandas, Scikit-learn)
  • Machine Learning (Linear regression, Clustering, Neural networks)
  • Cloud computing (ETL, Big Data)
  • Business Strategy (Data analysis, Decision making, Communication.)
  • Agile Project Management

Portfolio

We’ve helped thousands of businesses to thrive and grow. Read about our awesome customers to find out exactly how we helped them.


Acme helped Gusto Burgers to pivot rapidly to online ordering and take-away during 2020. Our team worked with the brand to add interactive menus to its website covering its entire menu. We also developed a branded app to support speedy ordering, collection and delivery.

In this contest analyzing residential property data in Ames, Iowa, it is shown that home price negotiations are influenced by a wide range of factors, far beyond the number of bedrooms or the presence of a white picket fence in the yard, even though buyers rarely mention details such as basement ceiling height or proximity to a railroad track. The challenge is to predict the final price of each home using a dataset that encompasses 79 explanatory variables describing virtually every aspect of these properties.

A dataset of the passengers of the iconic RMS Titanic is provided and an analysis of the data is proposed in search of patterns or triggers of survival rate. It also calls for the development of a predictive model with which to determine survival based on certain patterns.