Cloud whisperer. Data wrangler. Machine Learning enthusiast. I build bridges between data and insights, turning raw information into actionable knowledge.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ml-explainability
May 10, 2026 – Present
Implementation and Explanation of techniques used to explain machine learning models decisions
View Projectstreaming-converter
January 21, 2024 – December 28, 2024
streaming-converter — Dev.to repository
View Projectdata-mesh-yelp
May 16, 2023 – December 28, 2024
A complete data product project used to study concepts related to data enginerring such as modeling, collection, operations and so on.
View Projecttop_billboard_songs_spotify
January 24, 2021 – January 23, 2023
A study of billboard's most popular songs from 1950 to 2015 made using Tableau
View Projectfake-news-ptBR
October 27, 2020 – February 10, 2023
Understanding Fake News in Portuguese
View Projectarrhythmia-alarms
December 11, 2018 – December 11, 2018
The objective of this work is to detect false arrhythmia alarms using convolutional neural networks as proposed in Reducing False Arrhythmia Alarms in the ICU: the PhysioNet/Computing in Cardiology Challenge 2015. This project was the code from my undergraduate thesis to complete my computer engineering degree.
View ProjectITCS4180-MobileAppDev
February 20, 2016 – April 19, 2016
ITCS4180-MobileAppDev — Dev.to repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science and machine learning. The diversity of projects, from data engineering to mobile app development, indicates a broad technical curiosity. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment. The projects are primarily academic or personal, which may require a transition to a more structured, team-oriented development process.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.