Experience

• 

  Adnsaude comercio de produtos hospitalares

  Apr 2012 - Dec 2012

  Data science intern

  Achievements:- Mapped the factors that could improve the company's performance, contributing to a 15% increase in sales performance.Context:The company, which specialized in providing a wide variety of surgical materials to hospitals, aimed to improve sales performance using Statistics and Data Science. I was tasked with monitoring the performance of departments and salespeople.Technologies:- R- SQL | MySQLActivities:Monitored the company's sales performance and mapped factors that could improve it using Statistics and Data Science. Show less

• 

  Universidade federal rural de pernambuco

  Oct 2013 - Jan 2014

  Data scientist

  Achievements:- Mapped the factors that could improve the university's academic performance, contributing to a 7% increase in academic performance.Context:The university, known for its focus on agricultural sciences, environmental studies, and technological innovation, sought to improve both institutional and student academic performance. I was tasked with researching what changes could be made to enhance the university's overall performance.Technologies:- R- SQL | SQL ServerActivities:- Monitored the university's academic performance and mapped factors that could improve it. Show less

• 

  Antt

  Jan 2014 - now

  Achievements:- Executed demand forecasts using machine learning for a new highway concession with over 250 million dollars in infrastructure investments (2024).- As a technical leader in data science and financial topics, served as a technical defense assistant in arbitration proceedings, helping the Agency win all disputes related to the topics under my responsibility, saving over 10 million dollars in obligations for the Agency.- Developed a machine learning-based system for counterfactual demand projections in highways to estimate losses caused by the coronavirus pandemic across all concessioned highways in the country (Awarded a Functional Excellence Prize for this achievement).- Performed a study to estimate cost overruns in materials used for highway construction and maintenance caused by the coronavirus pandemic, based on counterfactual predictions using machine learning, which will support policies for the economic and financial rebalancing of concessions.- Developed machine learning models and statistical frameworks to forecast railway concession pricing and optimize cap prices for freight.Context:Work at ANTT, Brazil's federal agency responsible for regulating terrestrial transportation systems, including highways and railways. ANTT oversees the compliance, safety, and performance of infrastructure projects, ensuring efficient operations and adherence to national policies. I'm focused on data analysis, forecasting, and financial oversight, applying machine learning and statistical methods to large-scale datasets to support decision-making and optimize operations.Technologies:- Python | R- PySpark | PyTorch- Django | Flask- SQL | SQL Server- AWS | GCPActivities:- Economic and financial oversight of railway and highway concessions. Show less Achievements:- Estimated demand losses caused by the coronavirus pandemic for all federally concessioned highways in the country using machine learning counterfactual forecasts, providing support for tariff reviews and ensuring the economic and financial balance of concession contracts, resulting in over 80 million dollars in compensations.Context:Managed the economic and financial regulation and supervision of highway concessions, focusing on ensuring compliance with contractual obligations, analyzing financial performance, and supporting decision-making. Led initiatives involving data analysis, forecasting, and the application of statistical methods to evaluate concessionaire performance and optimize infrastructure management.Technologies:- Python | R- Pytorch- SQL | SQL Server- AWSActivities:- Managed tariff reviews for highway concessions to ensure the economic and financial balance of concession contracts.- Performed risk classification for new highway concession projects and contractual amendments in ongoing concessions. Show less Lead Data Scientist in the General Director’s OfficeAchievements:- Developed a machine learning-based system to predict accident probabilities on concessioned highways, aiming to enhance road safety by adjusting controllable factors to reduce the likelihood of accidents, with the potential to decrease accidents by 40% and fatal accidents by 77%.- I contributed to a Sentiment Analysis project using Natural Language Processing (NLP) to monitor customer satisfaction with the company's services nationwide in real time.- Developed and deployed strategic dashboards, providing the board of directors with clear and actionable insights to track key performance indicators and support data-driven decision-making.Context:Led data science initiatives within the agency's board of directors, focusing on supporting decision-making processes, coordinating the development of business intelligence solutions, including the design and implementation of dashboards. Applied advanced data analysis, forecasting, and statistical methods to provide actionable recommendations and improve operational efficiency.Technologies:- Python | R- PySpark | PyTorch- Django | Flask- SQL | SQL Server- AWS | GCP- Power BIActivities:- Led the development of dashboards in a data warehousing process to support decision-making by the Board of Directors. Show less Data Scientist in Passenger Transportation.Achievements:- Internalized studies and research in Statistics and Data Science previously conducted by external consulting firms, resulting in savings of over 2 million dollars in consulting costs.Context:The most important projects involving Statistics and Data Science were typically allocated to external consulting firms. I was entrusted with managing these topics internally.Technologies:- Python | R- SQL | SQL ServerActivities:- Conducting studies and research in Statistics and Data Science. Show less

  • Senior Data Scientist

    Jun 2017 - now

  • Deputy Coordinator of Financial Management

    Nov 2022 - Oct 2023

  • Lead Data Scientist

    Apr 2022 - Nov 2022

  • Data Scientist

    Jan 2014 - Jun 2017