Maxuel Reis, Developer in São Paulo - State of São Paulo, Brazil
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Maxuel Reis

Verified Expert  in Engineering

Data Scientist/Engineer and Developer

São Paulo - State of São Paulo, Brazil
Toptal Member Since
January 19, 2024

Maxuel is a data scientist and engineer with proven end-to-end data solution experience quickly adapting to new technologies. He is skilled in cloud computing: AWS, GCP, and Azure, big data: Hive and Spark, and data streams. He expertly combines data science and engineering for effective data management and business-aligned strategies. With an acting background, Maxuel has unique presentation abilities—enhancing teamwork and management.


Amazon RDS, AWS Lambda, AWS Glue, Amazon Athena, Streaming, Apache Superset...
Redshift, Amazon S3 (AWS S3), Amazon DynamoDB, Kafka Streams, Python, PySpark...
BV Financeira
Machine Learning, SAS, Python, R, H2O AutoML, Azure Databricks, Hadoop, SQL...




Preferred Environment

SQL, Python, PySpark, AWS Lambda, AWS Glue, Azure Databricks, EMR, Amazon DynamoDB, Docker, Amazon RDS

The most amazing...

...thing I've designed and implemented is a real-time recommender system for videos using NLP and computer vision for the mobile app NOW LOCAL NEWS.

Work Experience

Senior Data Scientist | Senior Data Engineer

2022 - 2024
  • Created and implemented a real-time recommender system for videos using NLP and computer vision for the NOW LOCAL NEWS app.
  • Designed and implemented the analytics infrastructure and dashboards to track the app's performance and the recommender system.
  • Developed an AI algorithm to identify the team and league for sports videos.
  • Constructed data pipelines using Azure Data Factory and Azure Databricks.
Technologies: Amazon RDS, AWS Lambda, AWS Glue, Amazon Athena, Streaming, Apache Superset, Google Analytics, TensorFlow, PyTorch, Amazon SageMaker, PySpark, Hugging Face, Amazon Transcribe, Amazon Comprehend, AWS Cloud Development Kit (CDK), Terraform, Lambda Architecture, Amazon DynamoDB, Redis Cache, Amazon Neptune, Amazon OpenSearch, A/B Testing, Azure Databricks, Azure Data Factory, JavaScript, TypeScript, Node.js, AWS Step Functions, Business Analysis, Data Modeling, Data Science, Azure, ETL

Senior Data Scientist

2021 - 2022
  • Designed and developed the architecture of the lakehouse for collecting data, streaming from DynamoDB with Kinesis and Kafka, and storing them in Amazon Redshift and S3.
  • Transformed and cleaned the streaming data from Redshift and S3 using Python, PySpark, and AWS Glue jobs.
  • Delivered real-time indicators with Athena and Metabase.
  • Deployed machine learning models using Python, Lambda, and API Gateway, delivering real-time predictions on streaming from the company's web application.
Technologies: Redshift, Amazon S3 (AWS S3), Amazon DynamoDB, Kafka Streams, Python, PySpark, AWS Glue, Amazon Athena, Metabase, Microsoft Power BI, Natural Language Processing (NLP), Machine Learning, Amazon API Gateway, Amazon SageMaker, AWS Lambda, Amazon Elastic MapReduce (EMR), JavaScript, TypeScript, Node.js, Business Analysis, Data Modeling, Data Science, ETL

Senior Data Scientist

2019 - 2020
BV Financeira
  • Implemented innovations to reduce lead time in developing, monitoring, and updating the models deployed with continuous machine learning.
  • Performed data collection, processing, and analysis with SAS, Python, R, Databricks, Hadoop, SQL, PySpark, H2O Driverless AI, and KNIME.
  • Developed predictive models using statistical and machine learning techniques with structured and unstructured (text) data.
  • Designed experiments to answer causal inference questions.
Technologies: Machine Learning, SAS, Python, R, H2O AutoML, Azure Databricks, Hadoop, SQL, PySpark, KNIME, A/B Testing, Data Engineering, Data Scientist, Financial Services, Business Analysis, Data Modeling, Data Science, ETL

Data Engineer

2017 - 2019
Banco Itaú
  • Generated daily KPIs of CRM results using SAS, Python, Hadoop, Splunk, Alteryx, and Adobe tools.
  • Developed a data mart with all the customers' interactions with the bank by collecting data streaming with Splunk Stream to provide the best CRM communication.
  • Created dashboards using Tableau with metrics for mobile app tracking.
Technologies: SAS, Python, Hadoop, Splunk, Alteryx, Adobe Analytics, SQL, Tableau, Automation, Financial Services, Data Modeling, ETL

Credit Risk Data Analyst

2012 - 2017
Volkswagen Financial Services Brasil
  • Calculated loan loss provisions as per Basel II and IFRS 9, based on parameters—such as exposure at default (EAD), probability of default (PD), and loss given default (LGD)—estimated by models developed with SAS decision tree and logistic regression.
  • Implemented the retail portfolio's EAD, PD, LGD, and provision forecasting process. The entire process was also developed in SAS Enterprise Guide and mainly based on linear regression models.
  • Created presentations, ad-hoc reports, and provisioning stress tests using the SAS Enterprise Guide.
Technologies: Credit Risk, Credit Scores, Credit Ratings, A/B Testing, Basel III, IFRS 9, IFRS Financial Reporting, Finance, Tax Accounting, SAS, SQL, Data Engineering, Portfolio Analysis, Risk Modeling, Automation, Financial Services, Business Analysis, Data Modeling, ETL

An app for local news by local people. I was the data engineer and scientist who designed and implemented the app's real-time recommender system for videos using NLP and computer vision. I also created and implemented the analytics infrastructure and dashboards to track the recommender system and the app's performance.

InHire ATS
An applicant tracking system (ATS) that offers solutions for all stages of the recruitment process. I was the data architect who designed and developed the data visualization architecture for this SaaS product.

Financial Reserve Model

We developed and implemented a financial reserve calculation model for a credit card payment company to offset losses from chargebacks. This project involved handling massive databases with billions of records, requiring extensive expertise in Spark and SQL.
2016 - 2020

Professional Technical Course in Theater: Performing Arts Interpretation

Teatro Escola Macunaíma - São Paulo, Brazil

2015 - 2015

Specialization in Statistics Topics: Statistics and Probability

Universidade de São Paulo - São Paulo, Brazil

2013 - 2014

Master's Degree in Data Analysis and Data Mining

Fundação Instituto de Administração - São Paulo, Brazil

2008 - 2011

Bachelor's Degree in Computer Science

Faculdade de Tecnologia do Estado de São Paulo - São Paulo, Brazil


SAS Certified Base Programmer for SAS 9



PySpark, TensorFlow, PyTorch, Node.js


AWS Glue, AWS Cloud Development Kit (CDK), H2O AutoML, Amazon Athena, Amazon SageMaker, Amazon Transcribe, Terraform, Microsoft Power BI, Amazon Elastic MapReduce (EMR), Redash, AWS Step Functions, IBM SPSS, Google Analytics, Amazon OpenSearch, Kafka Streams, Splunk, Adobe Analytics, Tableau, Git, GitLab, GitLab CI/CD, Control-M, Confluence


SQL, Python, SAS, R, JavaScript, TypeScript


Data Science, Business Intelligence (BI), ETL, Lambda Architecture, Automation


AWS Lambda, Docker, KNIME, Alteryx, Amazon Web Services (AWS), Azure


Amazon DynamoDB, Databases, Amazon S3 (AWS S3), Redis Cache, Redshift, Data Pipelines




Amazon RDS, Data Analysis, Statistical Modeling, Finance, Machine Learning, Data Engineering, Data Visualization, Programming, Statistics, Clustering, Credit Scores, A/B Testing, Presentations, Public Speaking, Streaming, Apache Superset, Metabase, Data Scientist, Credit Risk, Risk Modeling, Business Analysis, Data Modeling, Azure Databricks, EMR, Economics, Data Warehouse Design, Software Engineering, Neural Networks, Acting, Voice Acting, Teamwork, Hugging Face, Amazon Comprehend, Natural Language Processing (NLP), Amazon API Gateway, Credit Ratings, Basel III, IFRS 9, IFRS Financial Reporting, Portfolio Analysis, Rockset, Financial Services, Probability Notions and Stochastic Processes, Web Marketing, Sampling, Regression, Information Security, Networks, Time Series Analysis, Genetic Algorithms, Amazon Neptune, Azure Data Factory, Tax Accounting, Dashboards, Models, Big Data, Modeling, CI/CD Pipelines, Documentation, Business Rules, Production

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