Matheus R.

Data Engineer

Matheus is a Data Engineer with six years of commercial experience, recognized for his ability to drive innovation in energy allocation and data analytics.

He has a proven track record of leading transformative projects, including automating energy credit allocation, reducing processing time from days to real-time execution. His leadership was instrumental in developing a predictive machine learning model for energy consumption, enhancing efficiency and forecasting accuracy.

Beyond the energy sector, Matheus has made significant contributions in test architecture, data quality, product monitoring, infrastructure development, and strategic hiring. He is also experienced in Computer Vision, fundraising, churn reduction, automation, and project delivery.

With strong team leadership, mentorship, and communication skills, Matheus fosters collaboration and ensures alignment across technical and business teams, consistently delivering high-impact solutions.

Main expertise
  • Apache Spark
    Apache Spark 3 years
  • Data Engineering 5 years
  • ETL
    ETL 6 years
Other skills
    Matheus
    Matheus R.

    Brazil

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    Selected experience

    Employment

    • Senior Analytics Engineer | Tech Lead

      Lemon Energy - 6 months

      • Led the Squad of Energy Allocation as a Tech Lead/Associate Manager, collaborating closely with the Product and Energy Engineering teams to reshape energy credit allocation for the company's customers.

      • Successfully transformed a previously time-consuming manual process into a streamlined one-click automation, reducing the allocation time from 5 days to an instant process.

      • Led the development of a Machine Learning model to predict customer energy consumption for the next 12 months.

      • Built and aligned the team's OKRs, vision, and technical strategy, ensuring a clear direction and focus on delivering impactful results.

      • Conducted 1:1s with team members, fostering open communication and providing mentorship to support individual growth and development.

      Technologies:

      • Technologies:
      • Data Analytics
      • Machine Learning Machine Learning
    • Analytics Engineer

      Nubank - 1 year 5 months

      • Created the test architecture for Ultraviolet Card, scaling from hundreds to 300k customers using customer-centric testing like A/B testing.

      • Created canonical datasets, ensuring accurate monitoring and reliable data sources across the squad.

      • Played a crucial role in creating datasets to monitor product cannibalism over time.

      • Analyzed customer behavior to determine if NuPay impacted their interactions with other Nubank products.

      • Created infrastructure to expound R$ 1 billion in additional limits.

      • Founded the Upmarket Data Pack, a cross-functional tribe consisting of Analytics Engineers, Machine Learning Engineers, and Data Scientists to increase the effectiveness of the Upmarket squad.

      • Played a significant role in the hiring process, helping scale the team from ~70 Analytics Engineers to ~130.

      Technologies:

      • Technologies:
      • Data Analytics
      • Machine Learning Machine Learning
    • Data Lead

      Eventials & V-Lab - 9 months

      • Led the creation of a Computer Vision/Artificial Intelligence department.

      • Anonymized 600,000 ultrasound images using Deep Learning.

      • Raised $100k with Nvidia to perform our models in their infrastructure.

      • Create a Machine Learning model by reducing churn from 37% to 19%.

      • Automated time-consuming tasks, streamlining information retrieval and increasing efficiency

      Technologies:

      • Technologies:
      • Machine Learning Machine Learning
      • Computer Vision
    • Co-Founder

      Raise Up Solutions - 2 years 8 months

      • Successfully completed projects for significant regional companies, showcasing the company's expertise and capabilities.

      • Selected to showcase our work at Web Summit 19, a renowned tech conference in Portugal.

      • Coordinated a multi-disciplinary team of seven talented individuals, fostering collaboration and driving project success.

      • Completed over 30 projects, delivering impactful solutions to clients.

      Technologies:

      • Technologies:
      • Machine Learning Machine Learning

    Education

    • MSc.Management Executive Program

      Ohio University · 2023 - 2023

    • BSc.Bachelor of Computer Science

      University of Western of São Paulo · 2015 - 2018

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