Open to opportunities

Francisco Diego

@franciscodiego

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Detail-oriented and results-driven Data & ML Engineer

Spain

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What I'm looking for

Looking for a challenging role that leverages my data engineering and machine learning expertise to drive business value and improve operational efficiency.

As a seasoned Data & ML Engineer with over 8 years of experience, I have delivered innovative, data-driven solutions that enhance operational efficiency, improve accuracy, and drive business value. My expertise lies in designing, prototyping, and implementing scalable Data Architectures and Machine Learning models across both consulting and startup environments.

I excel at transforming complex data into actionable insights and developing high-impact data products and machine learning software. With a strong analytical problem-solving mentality, I am self-motivated and able to work independently, possessing excellent communication and teamwork abilities.

Throughout my career, I have worked with various technologies, including AWS, GCP, Azure, and more, and have developed expertise in multiple programming languages, including Python, R, Scala, and Bash. I am passionate about staying up-to-date with the latest advancements in the field and continuously seek opportunities to expand my skill set.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Professor

Current

IE University

May 2019 - Present (6 years)

I design and develop learning content for a Machine Learning course, mentor graduate students, and collaborate with industry leaders to apply research findings. I engage a diverse class of over 30 international students, making complex concepts accessible.

Machine Learning Curriculum Development Mentoring Research Public Speaking

Current

Senior Data Engineer

Current

Landis+Gyr AG

Nov 2021 - Present (3 years 6 months)

As a Senior Data Engineer, I develop and deploy data pipelines for real-time and batch data ingestion, create databases using Data Vault architecture, and forecast electricity demand using Bayesian Learning. I also design MLOps environments to manage machine learning models and streamline workflows using SCRUM.

Airflow Spark DBT MLFlow Kafka

Data / ML Engineer

GeoDB

Jan 2018 - Oct 2021 (3 years 9 months)

As Head of Data at a blockchain startup, I designed and deployed a data environment integrated with GCP, developed machine learning models for fraud detection, and managed partnerships with Google while controlling production costs.

GCP MLFlow PostgreSQL Firebase Dataflow Blockchain Fraud Detection Data Architecture

Data Scientist

Kernel Analytics

Mar 2016 - Jan 2018 (1 year 10 months)

I managed customer expectations and developed advanced analytical models to solve business challenges across various sectors, contributing to all phases of model development from data collection to feature engineering.

Data Analysis Business Intelligence

Data Scientist

Nextail

Mar 2017 - Oct 2021 (4 years 7 months)

I designed forecasting algorithms for product demand, developed real-time data integration channels, and conducted ad-hoc analyses for clients, automating report generation using AWS technologies.