Bruno Schock

Recommendation team - Data Scientist Specialist, DS at iFood
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Contact Information
us****@****om
(386) 825-5501
Location
São Paulo, Brazil, BR

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5.0

/5.0
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Matheus Sarafyan

Schock and I have worked closely together on the Recommendation team. What always impressed and amazed me was his energy and drive: he's always excited, hungry for progress, and lifting up the team's spirits. Throughout our time as teammates and after, he's always shown an unstoppable desire to not only develop his tasks to the bitter end and (honestly) crush through the project's backlog, but also to improving himself, his skills, learning new things and new tech. This, allied to all the previous knowledge and experience, makes him a great professinal and overall a great guy. Working together was always a great experience, and I can't recommend it enough!

Alison de Andrade Carrera

O Bruno é um excelente profissional, sempre dedicado e focado na solução de problemas. Uma pessoa ótima de se trabalhar com uma boa energia e que sempre entrega o que foi pedido. Além de ter um excelente conhecimento no âmbito do seu trabalho ele tem boas habilidades de comunicação, seja com o time ou com os stakeholders. Trabalhei com ele no escopo de aprendizagem de máquina, geração de base de dados (ETLs) e construções de serviços de inferências.

Mariana Blattner Mendes

I worked with Schock for a year on the Data Marketing team, and during that time I was able to see his mastery of regression models and Python. I also witnessed his dedication to improving himself, always taking courses and specializations. In addition to being competent, he is an extremely pleasant person to be around.

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Credentials

  • Machine Learning Engineer Nanodegree
    Udacity
    Aug, 2021
    - Nov, 2024
  • Econometria Básica Aplicada
    Coursera
    May, 2021
    - Nov, 2024
  • 3. Apache Spark Associate Developer
    Databricks
    Apr, 2021
    - Nov, 2024
  • 4. Data Science Professional
    Databricks
    Apr, 2021
    - Nov, 2024
  • Applied Statistics with Databricks
    Databricks
    Apr, 2021
    - Nov, 2024
  • Data Science on Databricks Rapidstart
    Databricks
    Apr, 2021
    - Nov, 2024
  • Data Science on Databricks: The Bias-Variance Tradeoff
    Databricks
    Apr, 2021
    - Nov, 2024
  • Data Scientists (Customers)
    Databricks
    Apr, 2021
    - Nov, 2024
  • Databricks with R
    Databricks
    Apr, 2021
    - Nov, 2024
  • Delta Lake Rapid Start with Python
    Databricks
    Apr, 2021
    - Nov, 2024
  • Deploying a Machine Learning Project with MLflow Projects
    Databricks
    Apr, 2021
    - Nov, 2024
  • Introduction to Feature Engineering and Selection with Databricks
    Databricks
    Apr, 2021
    - Nov, 2024
  • Introduction to Natural Language Processing with Databricks
    Databricks
    Apr, 2021
    - Nov, 2024
  • Lakehouse with Delta Lake Deep Dive
    Databricks
    Apr, 2021
    - Nov, 2024
  • Natural Language Processing at Scale with Databricks
    Databricks
    Apr, 2021
    - Nov, 2024
  • Scalable Machine Learning with Apache Spark
    Databricks
    Apr, 2021
    - Nov, 2024
  • Tracking Experiments with MLflow
    Databricks
    Apr, 2021
    - Nov, 2024
  • 3. SQL Analyst Associate
    Databricks
    Mar, 2021
    - Nov, 2024
  • 4. SQL Analyst Professional
    Databricks
    Mar, 2021
    - Nov, 2024
  • Apache Spark Programming with Databricks
    Databricks
    Mar, 2021
    - Nov, 2024
  • Associate SQL Analyst Accreditation
    Databricks
    Mar, 2021
    - Nov, 2024
  • Data Visualization with Databricks SQL Analytics
    Databricks
    Mar, 2021
    - Nov, 2024
  • Databricks SQL Analytics Fundamentals
    Databricks
    Mar, 2021
    - Nov, 2024
  • Delta Lake Rapid Start with Spark SQL
    Databricks
    Mar, 2021
    - Nov, 2024
  • Introduction to Apache Spark Architecture
    Databricks
    Mar, 2021
    - Nov, 2024
  • Just Enough Python for Apache Spark™
    Databricks
    Mar, 2021
    - Nov, 2024
  • SQL Analysts (Customers)
    Databricks
    Mar, 2021
    - Nov, 2024
  • Applications of SQL on Databricks
    Databricks
    Feb, 2021
    - Nov, 2024
  • Business Leaders (Customers)
    Databricks
    Feb, 2021
    - Nov, 2024
  • Databricks Workspace Fundamentals for Business Analytics
    Databricks
    Feb, 2021
    - Nov, 2024
  • Fundamentals of Data Lakes and Data Warehouses
    Databricks
    Feb, 2021
    - Nov, 2024
  • Fundamentals of Machine Learning
    Databricks
    Feb, 2021
    - Nov, 2024
  • Fundamentals of Structured Streaming
    Databricks
    Feb, 2021
    - Nov, 2024
  • Quick Reference: Databricks Workspace User Interface
    Databricks
    Feb, 2021
    - Nov, 2024
  • Quick Reference: Managing Databricks Notebooks with the Databricks Workspace
    Databricks
    Feb, 2021
    - Nov, 2024
  • Quick Reference: Relational Entities on Databricks
    Databricks
    Feb, 2021
    - Nov, 2024
  • SQL Coding Challenges
    Databricks
    Feb, 2021
    - Nov, 2024
  • Fundamentals of Big Data
    Databricks
    Jan, 2021
    - Nov, 2024
  • Fundamentals of Delta Lake
    Databricks
    Jan, 2021
    - Nov, 2024
  • Fundamentals of Delta Lake Accreditation
    Databricks
    Jan, 2021
    - Nov, 2024
  • Fundamentals of SQL on Databricks
    Databricks
    Jan, 2021
    - Nov, 2024
  • Fundamentals of Unified Data Analytics with Databricks
    Databricks
    Jan, 2021
    - Nov, 2024
  • Introduction to Lakehouse Architecture
    Databricks
    Jan, 2021
    - Nov, 2024
  • Introduction to Unified Data Analytics with Databricks Accreditation
    Databricks
    Jan, 2021
    - Nov, 2024
  • Quick Reference: Spark Architecture
    Databricks
    Jan, 2021
    - Nov, 2024
  • Unified Data Analytics Accreditation
    Databricks
    Jan, 2021
    - Nov, 2024
  • How to tell a story with data
    Udemy
    Nov, 2020
    - Nov, 2024
  • Feature Engineering for Machine Learning
    Udemy
    May, 2020
    - Nov, 2024
  • Tableau: Integrating Python, SQL, and Tableau
    Udemy
    May, 2020
    - Nov, 2024
  • Feature Selection for Machine Learning
    Udemy
    Mar, 2020
    - Nov, 2024
  • Learn Visual Studio Code (2020)
    Udemy
    Mar, 2020
    - Nov, 2024
  • Careers in Data Science A-Z
    Udemy
    Dec, 2019
    - Nov, 2024

Experience

    • Brazil
    • Software Development
    • 700 & Above Employee
    • Recommendation team - Data Scientist Specialist, DS
      • Nov 2021 - Present

      • Recommendation division focused in content recommendation;• Model design, deployment and monitoring;• A/B testing for algorithm performance and deployment;• Feature implementation and evaluation;• Orders uplift with clusterization applied in user recommendation;

    • Data & Analytics Specialist - Data Specialist, DS
      • Oct 2021 - Nov 2021

      • Advanced analytics division focused in data modelling problems;• Pyspark and SQL databricks queries & ETLs;• Tableau insights sharing and reporting for stakeholders;• Time series forecasting modelling applied for retention rates;• AI applied for decision making.

    • Data & Analytics Senior - Data Specialist, DS
      • Nov 2019 - Oct 2021

      • Advanced analytics division focused in data modelling problems;• Pyspark and SQL databricks queries & ETLs;• Tableau insights sharing and reporting for stakeholders;• Time series forecasting modelling applied for retention rates;• AI applied for decision making.

    • Brazil
    • Financial Services
    • 100 - 200 Employee
    • Data analyst
      • Apr 2019 - Nov 2019

      • Data insights decision driver for new business prospects; • Time series modelling and forecasting; • Analytics and reporting for macroeconomic indexes; • NLP data analysis of users complaints for local clients. • Data insights decision driver for new business prospects; • Time series modelling and forecasting; • Analytics and reporting for macroeconomic indexes; • NLP data analysis of users complaints for local clients.

    • Brazil
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant
      • Jul 2018 - Dec 2018

      TA for prof. Dr. Andre Alves Portela Santos in the Stock Market course, PPGEco/UFSC. TA for prof. Dr. Andre Alves Portela Santos in the Stock Market course, PPGEco/UFSC.

Education

  • MBA USP/Esalq
    Master of Business Administration - MBA, Data Science & Analytics
    2020 - 2022
  • Universidade Federal de Santa Catarina
    Master's degree, Economics
    2017 - 2019

Community

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