Freelancer profile translated to English.

Description

With over 15 years of experience, Carlos has deep technical knowledge within the AI space. A rare breed with expertise in data engineering, data science, and general software architecture. A technician with a business heart, he has acquired wisdom in online business models, retention strategies, churn analysis, LTV calculation, and sales forecasting across a variety of industries.

Workplace preferences

Can work on-site

Madrid (up to 50km)

Carrefour
Order Routing System
RETAIL (LARGE RETAILERS)
June 2018 - July 2018 (1 month)
Madrid, Spain
Development of an internal software with custom sorting features on Apache Solr to dynamically check the inventory of items in over a thousand stores with millisecond response times, prioritizing available locations by distance to the end customer in search engine results.
Elasticsearch Java
Carrefour
Demand Forecasting for a Retail Multinational
RETAIL (LARGE RETAILERS)
September 2018 - April 2019 (7 months)
Creation of a distributed system to predict daily unit sales for over a thousand stores in Spain, performing 20 million regressions daily, improving accuracy and providing cost efficiencies in the supply chain by reducing excess inventory and preventing stockouts. Technologies: Apache Spark, Python, and scikit-learn.
Spark Python Scala Scikit-learn Data science Big Data
Banco Santander
Credit Risk Scoring for a Financial Institution
BANKING AND INSURANCE
April 2016 - September 2016 (6 months)
Development of a hierarchical logistic model tree to assess loan risk by evolving the bank's methodology and incorporating non-traditional signals using public datasets, such as events stored in the Mercantile Registry (changes in administration, capital increases, bankruptcies, etc.).
Python Spark