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I'm Luiz Felipe Bessa, a Data Scientist and AI & Automation Engineer based in Brasília, Brazil. I specialize in building predictive models with Python (scikit-learn, TensorFlow, PyTorch) and R, applying supervised and unsupervised learning for classification, regression, and clustering. I work on GenAI & RAG, intelligent automation, and AI integrations with cloud platforms (AWS, Azure) and REST APIs, plus ETL/data pipelines and knowledge-base integration. I love turning complex data into scalable, data-driven solutions.…I'm Luiz Felipe Bessa, a Data Scientist and AI & Automation Engineer based in Brasília, Brazil. I specialize in building predictive models with Python (scikit-learn, TensorFlow, PyTorch) and R, applying supervised and unsupervised learning for classification, regression, and clustering. I work on GenAI & RAG, intelligent automation, and AI integrations with cloud platforms (AWS, Azure) and REST APIs, plus ETL/data pipelines and knowledge-base integration. I love turning complex data into scalable, data-driven solutions.

Luiz Felipe Bessa

Data Scientist, AI Engineer, Full Stack Developer, +2

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I'm Luiz Felipe Bessa, a Data Scientist and AI & Automation Engineer based in Brasília, Brazil. I specialize in building predictive models with Python (scikit-learn, TensorFlow, PyTorch) and R, applying supervised and unsupervised learning for classification, regression, and clustering. I work on GenAI & RAG, intelligent automation, and AI integrations with cloud platforms (AWS, Azure) and REST APIs, plus ETL/data pipelines and knowledge-base integration. I love turning complex data into scalable, data-driven solutions.…I'm Luiz Felipe Bessa, a Data Scientist and AI & Automation Engineer based in Brasília, Brazil. I specialize in building predictive models with Python (scikit-learn, TensorFlow, PyTorch) and R, applying supervised and unsupervised learning for classification, regression, and clustering. I work on GenAI & RAG, intelligent automation, and AI integrations with cloud platforms (AWS, Azure) and REST APIs, plus ETL/data pipelines and knowledge-base integration. I love turning complex data into scalable, data-driven solutions.

Available to hire

I’m Luiz Felipe Bessa, a Data Scientist and AI & Automation Engineer based in Brasília, Brazil. I specialize in building predictive models with Python (scikit-learn, TensorFlow, PyTorch) and R, applying supervised and unsupervised learning for classification, regression, and clustering.

I work on GenAI & RAG, intelligent automation, and AI integrations with cloud platforms (AWS, Azure) and REST APIs, plus ETL/data pipelines and knowledge-base integration. I love turning complex data into scalable, data-driven solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Portuguese

Fluent

Spanish; Castilian

Intermediate

Work Experience

Software Engineering Intern at Brazilian Federal Senate

September 1, 2024 - Present

Contributed to developing solutions to optimize legislative monitoring and promote transparency through open data. Implemented data pipelines on cloud platforms for real-time data collection and transformation, applying software engineering best practices and integrating predictive analytics to support scalable, data-driven legislative processes.

Data Engineering Consultant at TaskHub

July 1, 2024 - Present

Developed comprehensive data engineering solutions for large enterprises, focusing on scalable data pipelines. Leveraged AWS (Lambda, S3, DynamoDB) and Microsoft Azure, implemented system integrations via RESTful APIs, optimized workflows, and built ETL processes to maintain data quality for advanced analytics.

Data Analysis Intern at Plano Consultoria

June 1, 2024 - September 1, 2024

Performed data extraction and processing for financial forecasting, developed ML models in Python and R to predict revenues and expenses, and created interactive dashboards in Power BI. Automated ETL scripts and conducted financial risk modeling to inform strategic decisions.