Leonardo Rocha C. Da Costa Email & Phone Number

Santa Catarina, Brazil

Florianópolis, Santa Catarina, Brasil

I was a Data Science Team Coordinator at PagBank, where our primary focus was on determining the best next offer and action for each customer. The goal of this work was to optimize communication costs, increase product engagement, and enhance customer satisfaction.Main Activities:- Define the scope of data science models to determine the most effective communication strategy for each customer.- Collaborate and align with other business areas to ensure cohesive strategies and goals.- Measure and analyze the results of data science initiatives, using metrics to evaluate their effectiveness and make data-driven decisions.- Manage the career development and growth of data scientists within the team, providing guidance, support, and opportunities for professional advancement.

I worked as a Data Science and Machine Learning Platform Product Owner at PagBank. In this role, I was responsible for overseeing the development and management of the data science platform and machine learning infrastructure.Within the Data Science team, our primary focus was on creating propensity models for various banking products, including investments and churn prediction. These models helped identify potential opportunities and risks for the organization.Additionally, the Machine Learning Platform team was responsible for handling all aspects of infrastructure and deployment related to the data science models. This involved ensuring the smooth operation of the platform and making the models accessible to other teams within the organization.My main activities in this role included:- Identifying potential business problems that could benefit from data science solutions and collaborating with stakeholders to define project objectives.- Managing stakeholder expectations by providing regular updates on project progress and addressing any concerns or questions they may have had.- Evaluating the performance and effectiveness of data science models, using various metrics and techniques to measure their accuracy and identifying areas for improvement.

Florianópolis, Santa Catarina, Brazil

I was a product owner at an analytics team. We were focused on creating machine learning models that improve the customer experience in Neoway's platform. Main Activities:- Own projects across data science and data engineering- Manage the product backlog

Florianópolis, Santa Catarina, Brazil

I was a product owner intern at a Discovery team. This team is a cross-functional group focused on discovering new data products to empower our customers to achieve success in a Sales & Marketing journey. Main Activities: - Manage and prioritize the analytics product backlog.- Support Go to Market process.- Analyse Data Science Models.- Ensure that data products are in accordance with LGPD.

Florianópolis, Santa Catarina, Brazil

Neoway is the leading Big Data and Analytics company in Latin America. I was a data science Intern at the Analytics team, where it makes use of data to extract actionable insights to our customers through Data Science and Machine Learning. Main Activities:- Features engineering- Data preprocessing- Creation of python/pySpark tools that assist data analysis- Creation of Machine Learning Models

Florianópolis Area, Brazil

SESI's Innovation Center for Health Technologies (CIS Technologies), created in 2016 in Florianópolis, aims to develop innovative and customized technologies that contribute to the improvement of the health and safety of workers and work environments, reducing costs and industry productivity growth.The Center offers applied research, development and innovation services, as well as consulting and training in health technologies. Main Activities:- Data Analytics- Data Integration - Scrum

Florianópolis Area, Brazil

Labmetro is a laboratory inside the Mechanical Engineering department at UFSC, with research conducted in the fields of metrology and automation. Main Activities:- Convolutional Neural Networks for defect detection;- Non-destructive testing;- Shaerography;- Machine Learning algorithms;