I’m a Data Scientist and Machine Learning Engineer. I have 10+ years of Software Engineering experience and 4+ years of consulting experience, a background in Engineering (MSc), and a course in Machine Learning at DTU, which provided me with the experience and expertise, statistical and mathematical foundations to tackle different challenges.

My profile has its foundation in three pillars:

  1. Communication and collaboration:

Data Science is a field that needs input from different stakeholders, and collaboration (alongside expertise) is the means to achieve business value. My profile is a business-oriented Data Scientist: I value real-world, hands-on experience and prioritize understanding stakeholders' needs - regardless of being management, engineers, marketers, etc.

  1. From idea to production:

Via my software engineering skills and experience, I bring a unique capacity for delivering data science products, from its model conception/architecture to production.

I prioritize building prototypes and perform small iterations to validate ideas quickly. I’m constantly finding new ways to determine how can Data Science/AI generate business value.

  1. Passion and creativity-driven:

I have a background in Engineering (MSc) and a course in Machine Learning, which provided me with the statistical and mathematical foundations to tackle different challenges.

As a technical writer about data science/machine learning/data engineering but also a podcast host, open-source maintainer, and homemade cluster computer builder, my community involvement expresses the passion I place in every project I embrace.

What motivates me as a Data Scientist is the ability to use all my knowledge gathered over the years while being able to solve different challenges throughout the process.