Education

University of São Paulo

2019–2022 Bachelor in Business Administration
2016–2018 Bachelor in Computer Engineering (unfinished)

Skills

Python, Pandas, Dask, PySpark and SQL for data ETL and analysis.
PyTorch, Tensorflow and SKLearn for Machine Learning and Artificial Intelligence.
AWS (Lambda, EC2, S3, API Gateway, Route53, DynamoDB, ECR).
GCP (BigQuery, DataProc, GCS, Cloud Functions, GCR, Vertex AI).
Airflow and MLflow for managing data pipelines and model lifecycles.
Git and GitHub for code versioning and project management, including CI/CD.
Linux, bash and Docker for deploy and automation.
HTML5, CSS, JS.

Languages

Portuguese Native
English Proficient (Cambridge CPE)
Japanese Intermediate (JLPT N4)

Contact Information

Experience

Uncover 2023/11 - Current

Data Scientist

Marketing Mix Modelling planning and execution for leading enterprises of all industries in Brazil, using Bayesian algorithms in a fully automated and scalable environment using Airflow and MLflow.
Development and maintenance of Machine Learning modelling tools and frameworks to increase productivity and enable fast and robust model execution, using Pandas, PyStan, SKLearn and Plotly.
Refactoring of old deployment code for enabling automated model execution and retraining, reducing complexity and time to value to production model.
Planning and management of end to end Machine Learning projects, including Business Model discovery and design, data request structuring, model hypothesis planning and validation, model testing documentation and results presentation, using Asana and Google Workspace.

Magazine Luiza 2020/12 - 2023/10

Data Scientist - Store Demand, Supply and Assortment

Creation of an end-to-end pipeline for Demand Forecasting using LightGBM, Dask, MLflow and Airflow, reducing traning time by 50%, costs by 90%, and enabling model lifecycle and performance tracking.
Development and maintenance of the store supply tool using PySpark, Pandas, PuLP and Airflow, responsible for optimizing distribution of dozens of thousands of products daily across over 1400 stores.
Creation and maintenance of dozens of data ETL pipelines using PySpark, Delta Lake, Airflow and BigQuery.
Creation and maintenance of queries and dashboards for metrics and KPI tracking as well as making data more accessible to the whole company, using Google BigQuery and Looker Studio

Turing USP 2019/09 – 2022/08

Development and deploy of a Facebook integrated Chatbot based on sentence similarity models, using AWS Lambda, API Gateway, DynamoDB and Docker.
Data mining and pre-processing of structure and non-structured data (text and images) using Python, for model training and analysis.
Development of an object detection and recognition model using transfer learning and deployment using AWS Lambda, S3 and API Gateway.
Time series momentum algorithm implementation for quantitative trading of financial assets, with a backtesting library, using Pandas and Numpy.