Hi, I'm Eduardo!

I'm a data scientist from Rio de Janeiro, currently pursuing a master's degree in Artificial Intelligence.

I'm very curious and like problem-solving. I like to work with data, either big or small, to help companies gain new insights by being data driven in their decision-making process and improve their strategies. I'm comfortable navigating corporate environments as well as working with startup teams, mentoring junior professionals and delivering complex analysis to a diverse audience.

My work involves not only creating the technical solutions but also delivering the presentations and visualizations in a clear fashion, understandable by the people using the solution as well as the C-level, board of directors and various stakeholders, as well as being constantly featured in Investor Relations earning reports.


Translating business problems into a data project. My main focus whenever I start a new project is understanding my client's needs and using a wide range of data science and artificial intelligence techniques to solve it.

Making insightful visualization that are easy to understand by non-technical audiences. My work has been constantly featured in Multiplan's Investor Relations earning reports, bringing data insights to a public audience as well.

Delivering presentations in a clear fashion, making complex topics and solutions easier to understand for stakeholders, C-levels, board of directors and anyone involved in the project.

I am used to working in all steps of the data life cycle of a project: collecting data, cleaning it, exploring and mining this data, feature engineering, training and improving predictive modeling, and creating visualizations.

I have experience with analytics, supervised learning, unsupervised learning and deep learning. I've developed solutions for multiple clients to solve classification problems, regression, clustering, recommendation, natural language, computer vision, graphs and more with both structured and unstructured data.

I've worked with multidisciplinary and international teams from Europe, Asia and the Americas to help clients from a wide variety of industries, such as telecommunications, retail, iron and steel metallurgy, occupational medicine, mining companies, banking and real estate, to name a few.


I'm a fast learner, constantly discovering and using new technologies and libraries in a very hands-on fashion.

My day to day involves a lot of Python, Jupyter notebooks, and SQL. Libraries include Pandas, Numpy, Plotly, Scikit-learn, TensorFlow, XGBoost, NLTK, Pyspark and many many more.

My visualizations are usually made either in Python, using libraries such as Plotly and Leaflet, or dashboarding tools like Tableau, PowerBI or DataStudio.

I automate my tasks whenever possible, either with cron jobs or Airflow DAGs, use Git for version control.

Currently working with a data lake in AWS cloud environment, and using services such as EC2, S3, Aurora, Athena, Redshift, and SageMaker.


Federal University of the State of Rio de Janeiro
Master's degree in Artificial Intelligence

Fluminense Federal University
Bachelor's degree in Information Systems

I hold technical certifications by AWS and DeepLearning.ai, and English proficiency certifications from Cambridge University, TOEIC and TOEFL


Shopping Center and Real Estate Conglomerate
Senior Data Scientist (since 2020)

Consulting and Audit Multinational Firm
Data Scientist (2019 - 2020)

Multinational Technology and Consulting Corporation
Business Data Analyst (2013 - 2018)