University of California, Berkeley August 2019 - May 2020

Master of Engineering - Industrial Engineering and Operations Research

Capstone Project

• Traffic light optimization through reinforcement learning to reduce congestion in big cities
• Simulation of vehicle flow using a traffic model in python and development of a reinforcement learning environment
• Application of tabular methods (Q-learning) and function approximation (deep Q-learning) algorithms

Relevant courses

• Data Mining and Analytics
• Applications in Data Analysis
• Optimization Analytics
• Risk Modeling, Simulation and Data Analysis
• Research Design and Applications for Data Analysis
• Learning and Optimization
• Deep Unsupervised Learning
• Entrepreneurship for Engineers

University of São Paulo February 2011 - December 2017

Bachelor of Engineering - Industrial Engineering

Undergraduate Thesis

• Vehicle Routing Problem with Time Windows
• Development of a routing heuristic to solve the problem of vehicle routing of a startup in the Health Food Sector
• Thesis: http://pro.poli.usp.br/trabalho-de-formatura/roteirizacao-de-entregas-para-uma-startup-do-setor-de-alimentacao-saudavel/
• Mention in an article of the Center of Mathematical Sciences Applied to Industry (CeMEAI): https://bit.ly/36TaWri

Ecole Centrale de Nantes September 2013 - September 2015

Bachelor of Engineering - Double Degree Program

Crossing Minds March 2022 - February 2023

San Francisco, USA

Data Scientist

• Performed AB test on multiple recommendation system solutions for a client (content-based, collaborative filtering, hybrid and contextual bandits) in order to beat the baseline model by 15%.
• Trained models and deployed pipelines in production using Airflow.
• Built the entire ML pipeline with Databricks, Spark and python, from data ingestion and processing to model training and inference, to be used by a client to help them target users for campaigns and increase retention.

Didi Chuxing March 2021 - March 2022

Mountain View, USA

Data Scientist II

• Supported the launch and growth of a digital wallet in Brazil from data infrastructure to feature experimentation
• Designed the data infrastructure of the new Bitcoin trading platform, working cross-functionally with engineering, product and marketing teams. Unlocked the team’s capability to diagnose the new product and develop AB tests
• Developed a Decision Tree model to predict churn of users and understand the most important features. Guided the marketing campaigns with results from churn model and LTV model.

Didi Chuxing January 2019 - August 2019

São Paulo, Brazil

Data Scientist

• Saved the company around $30,000 per month by finding a bug in the automatic payment API
• Improved anomaly detection algorithms for the fraud detection team through adhoc analyses in SQL (Hive), python and R to find root causes of problems in the ride-hailing industry
• Developed dashboards in R to control KPI´s of 5 Latam countries and to track potential anomalies
• Analyzed customer churn correlation with fraudulent behavior from drivers

Stone Co February 2018 - January 2019

São Paulo, Brazil

Data Analyst - Pricing

• Increased revenue captured by around 5% by clustering clients to find optimal prices in the payment services industry with intensive use of python and SQL
• Reduced average time of approval from 1 day to 1 hour by developing a decision algorithm in node.js for price approval of new clients used by around 3,000 salesmen around the country
• Guided the pricing strategy with a survival analysis to predict time before churn given the initial price offered

NASA Ames Research Center / USRA July 2020 - Today

Mountain View, USA

Machine Learning Research Intern

Application of Deep Learning techniques (generative adversarial networks and CNN) using tensorflow Keras for exoplanet discovery from data extracted from the Kepler and TESS telescopes.

A. T. Kearney January 2017 - August 2017

São Paulo, Brazil

Business Analyst Intern

• S&OP (food & beverage sector): development of a demand forecasting model to reduce costs related to inventory level.
• Sourcing (energy sector): cost reduction analysis related to fuel, vehicle fleet, employee's benefits and purchase of raw material.

Morgan Stanley July 2016 - December 2016

São Paulo, Brazil

Equity Research Analyst Intern

Coverage of stocks from the Food & Beverage sector in Latam region

Total E&P UK October 2015 - December 2015

Aberdeen, Scotland

Data Analyst Intern - Logistics

• Improvement of the marine logistics operations : development of a central shared system for the management of cargo requirements of oil platforms and rigs.
• Improvement of the Key Performance Indicators and development of a user-friendly semi-automated 12 months evolution of performance of the logistics operations (port, vessels and installations).

Carrefour May 2015 - September 2015

Paris, France

Data Analyst Intern - Sales Forecasting

• Improvement of the sales forecasting methods of the grocery sector for the hypermarkets in France.
• Analysis and control of the Key Performance Indicators.