Carlos Relvas

Co-Founder and Chief Data Scientist at datarisk.io
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Contact Information
Location
São Paulo, São Paulo, Brazil, BR
Languages
  • Inglês Full professional proficiency
  • Português Native or bilingual proficiency

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Eduardo Bellani

A talent magnet. Relvas is the kind of guy who is always surrounded by incredible Data Scientists. It is probably because they smell his incredible intelligence and willingness to help them improve themselves, I guess. I've seen him build one the most sophisticated Data Science organizations that I have knowledge of. His team is delivering billions worth of value to Datarisk's customers, all with exceptional professionalism and joy. Relvas is also a great guy to talk to, very pleasant and joyful. I'm pretty sure that he will achieve great things in his career, even taking in consideration the already impressive results he has achieved.

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Credentials

  • Machine Learning - Stanford University
    Coursera
    Aug, 2012
    - Sep, 2024

Experience

    • Co-Founder and Chief Data Scientist
      • Jun 2019 - Present

    • Brazil
    • E-learning
    • 1 - 100 Employee
    • Career Mentor for Data Analytics / Mentor de carreira para profissionais na área de dados
      • Jul 2021 - Present

    • Professor Machine Learning
      • Mar 2015 - Dec 2019

    • Lead Data Scientist
      • Jul 2015 - Jun 2019

    • Brazil
    • Investment Management
    • Analyst of Research and Development
      • Jan 2012 - Jul 2015

      Main activities:- Statistical consulting for various areas of the bank focusing on improvements in the modelling process in credit models using Statistical, Data Mining and Machine Learning tools.- Comparison between machine learning algorithms for multimodal response distributions.- Since 2013, I am leading a Big Data Project using hadoop technology and machine learning techniques.- I have developed Hadoop MapReduce high advanced algorithms using R and hadoop streaming.- One of the responsibles to create a complete automatic Predictive Modeling Framework using Big Data tools as Hadoop, Hive and R.

    • Internship - Research and Development
      • Apr 2010 - Feb 2011

      Main activities: Data manipulation; Statistical analysis; Development of statistical models; Construction of reports. Main activities: Data manipulation; Statistical analysis; Development of statistical models; Construction of reports.

Education

  • Universidade de São Paulo
    Doutorado, Ciência da Computação
    2016 - 2020
  • Universidade de São Paulo
    Statistics Master’s Degree, Symmetric partially linear models with first-order autoregressive errors
    2011 - 2013
  • Universidade de São Paulo
    Bachelor's degree in Statistics, Statistics
    2007 - 2010

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