Alex Barros
Senior Machine Learning Engineer at netLex
Minas Gerais, Brazil
Summary
🤩
Rockstar🎓
Top SchoolAlex Barros is a Senior Machine Learning Engineer with a decade of experience building production-ready ML systems and developer tools from Minas Gerais, Brazil. He has led end-to-end projects across startups and scale-ups, designing synthetic data solutions and time-series features using Python, Dask, PyTorch, Scikit-Learn and cloud-native tooling. At YData he helped maintain ydata-profiling—a widely used open-source profiler with millions of downloads—contributing time-series analysis, tests and visualization improvements like gap analysis. Previously he combined technical leadership, mentoring and hands-on engineering at Kunumi (acquired by Bradesco), shipping NLP and credit-risk pipelines and internal tooling. Comfortable switching between research, backend engineering and product discussions, he’s equally at home writing unit tests and defining feasibility in business meetings.
10 years of coding experience
10 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Universidade Federal de Minas Gerais
Github Skills (15)
data-visualizations10
pandas10
statistics10
data-visualization10
time-series10
data-visualisation10
data-exploration10
exploratory-data-analysis10
python10
statistic10
data-science10
data-profiling10
data-analysis10
machine-learning9
jupyter-notebook9
Programming languages (2)
Github contributions (5)
Data-Centric-AI-Community/fg-data-profiling
Jul 2022 - Jan 2023
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:62 reviews, 146 commits, 144 PRs in 6 months
Contributions summary:Alex primarily focused on enhancing the `ydata-profiling` library by adding support for time series data analysis. Their contributions involved implementing new functionalities for time series data, including tests, and visualizations. They also focused on enhancing the library, including code for the generation of the "gap analysis" tab in the time series plots. This suggests a strong understanding of data analysis and time series techniques.
dataframedataframesexploratory-data-analysispandasprofiling
maciejb/ydata-profiling
Oct 2023 - Oct 2023
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Contributions:1 push in 1 day
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