Lucas Barreto Email and Phone Number

Leveraging data for creating new features using context and understanding user behavior. Working with state-of-the-art architecture (Transformers, LSTM, etc) for NLP problems.Processing big amount of Data by using AML, and PySpark.Creating and optimizing CI/CD pipelines using Azure DevOpsOnboarding new members and help interns get integrated.

Working with international team, reporting to headquarters (Seattle - USA). Worked on improving performance suggestion replies for Teams and Outlook.Currently focusing on intent detection problems. Working with state-of-the-art architectures (Transformers, Bi-LSTM) as well as different types of embeddings mechanisms, targeting to better understand user behavior.CI/CD pipeline, using Azure DevOps improving model deployment process, reducing processing time as well as processing Big Data with PySpark, HDI and AML.

Hospital data analysis, focusing on different areas, extracting insights and supporting the hospital core business, leading to more assertive decision making.Creation of projects' pipelines using large volumes of both internal and government data in order to create demand predictive tools, using conventional statistical models (ARIMA, Holt WInter, etc.), classical machine learning (such as, LightGBM, Random Forest, SVM) and neural networks (LSTM, etc.).CI/CD pipeline, automating tests using Python, Gitlab, Docker, Jenkins and SonnarQube. Creation of interactive data visualization tools using python (Dash / plotly) and Power BI, always seeking to create solutions that meet the needs of the operation.

Responsible for the market with the highest impact and profitability of the company, achieving a satisfactory increase in revenue compared to previous year.Search for revenue maximization through strategic market analysis. Price segmentation according to customer’s type, product, channel and anticipation of purchase.Database creation and handling using Access and SQL which resulted in faster and more efficient of competitor information analysis.Creation of automated routines, dashboards and reports using Excel / VBA which helped reducing the time spent on the data preparation for analysis.Link between the business and data area, assisting in the collection, transformation and presentation of data to the management team.

Assistance in the creation of the 300A database using Excel, which reduced the query time of the parameters from other areas.Conducting studies and analysis of KPIs improving aircraft performance and project efficiency. Performing aerothermodynamics computational simulations, using Ansys Fluent, improving aircraft landing and takeoff performance.

Objective to develop improvements with major impact on aeronautical efficiency projects.Responsible for the acquisition and assembly of experimental apparatus, structural simulations and problem optimization using MatLab programming.