Alexandre Ray

Alexandre Ray

Senior Data Scientist
Machine Learning Engineer
AI Engineer

Plan A Technologies

About me

I am a Data Scientist with over 10 years of experience in artificial intelligence, machine learning, software engineering, and systems design. Throughout my career, I have worked across multiple industries, including investment banking, IT consulting & outsourcing, fintech, manufacturing, education, healthcare, and casinos.

I have a strong academic background, holding a bachelor’s degree in computational physics and a master’s degree in engineering, both from USP (University of São Paulo).

My expertise spans Python, SQL, machine learning, statistics, data modeling, and project management. I have successfully led multidisciplinary teams from various countries. With over three years of experience working for US companies, I have developed a deep understanding of global business and technology landscapes.

I thrive in complex problem-solving environments, bringing a proactive and strategic approach to optimizing analytical processes, designing scalable systems, and driving innovation. Whether in financial services, education, or healthcare, I adapt quickly to new challenges and leverage data-driven insights to create impactful solutions.

Education
  • MSc in Computer Engineering, 2025

    University of São Paulo

  • BSc in Computational Physics, 2015

    University of São Paulo

Interests
  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Generative AI

Public Projects

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Analyzing brazilian elementary education indicators
Analyzing elementary education helps identify strengths, gaps, and inequalities, guiding improvements that support long-term student success and equity.
Bike Sharing Demand
Mobility-as-a-Service (MaaS) bike-sharing systems offer flexible, app-based transportation in cities while generating valuable data for urban mobility analysis.
Evaluate the main factors that lead to late detection of early breast cancer
Predicting breast cancer enables early detection and treatment, and this project uses 2018 Brazilian data to identify key contributing factors.
Socioeconomic aspects versus accessibility to subway stations of the city of São Paulo
Analyzing the link between socioeconomic factors and subway access helps identify transportation inequities and guide more equitable urban planning.

Talks