Matheus Guerreiro

Senior Data Scientist

Grupo Fleury•  May 2024 - Present•  São Paulo

I build and present project results in a clear and understandable manner to all healthcare areas involved. Additionally, I utilize Data Science methods to develop indicators and solutions that enhance the group's products and services. I actively collaborate with teams to ensure that data science projects align with business goals and objectives, and I create innovative solutions that deliver tangible results in the field of data science. As a skilled Data Scientist, I led projects across healthcare business areas, resulting in significant impacts for the organization, include: Spine Orthopedics Dashboard (Feb 2024 - Aug 2024): Application of Generative AI using Machine Learning algorithms evolving in the development of a patient journey dashboard in spinal orthopedics, for the Digital Health area. Application of AI for open-text MRI and CT scans of the spine of the Grupo Fleury, to create the Dashboard that allows the management of orthopedic data to answer business questions in the Digital Health area, as well as to structure a health action plan and strategic decision-making for the engagement of Primary Health Care and Digital Emergency Care. Technologies: Generative AI, Vertex AI, Python, Google BigQuery, Airflow, Google Cloud Platform and Looker Studio.

Data Scientist

Grupo Fleury•  June 2022 - May 2024•  São Paulo

I build and present project results in a clear and understandable manner to all healthcare areas involved. Additionally, I utilize Data Science methods to develop indicators and solutions that enhance the group's products and services. I actively collaborate with teams to ensure that data science projects align with business goals and objectives, and I create innovative solutions that deliver tangible results in the field of data science. As a skilled Data Scientist, I led projects across healthcare business areas, resulting in significant impacts for the organization, include: Coronary Calcium Score Prediction (Sep 2023 - Nov 2023): ● Developed a Convolutional Neural Network (CNN) model for classifying chest x-ray images. ● Achieved a 32% cost reduction by building the model in-house, using VGG-19 architecture with a ROC curve of 0.75. ● Crucial in early detection of cardiovascular problems, identifying at-risk clients through accurate Agatston coronary calcium score quantification. ● Technologies: Deep Learning, TensorFlow, Python, GitLab, Machine Learning and Google Cloud Platform. Testosterone Reference Values (May 2023 - Aug 2023): ● Established reference values for Testosterone by Mass Spectrometry using R. ● Conducted advanced statistical analysis, developed custom algorithms for precise reference ranges, and collaborated with endocrinology professionals. ● Practical implementation improved interpretation of testosterone results, aiding medical decision-making. ● Competencies: R and Statistical Data Analysis. Company's Portal (Jun 2022 - Dec 2022): ● Addressed challenges during SaudeID to Grupo Fleury transition. ● Implemented Company Portal with QlikSense and BigQuery, automating data generation and creating 26 indicators in Operational, Clinical, and Primary Care Coordination categories. ● Eliminated manual validations, improved efficiency, and retained Fleury's client, generating annual revenue of R$1.7 million. ● Technologies: QlikSense and BigQuery.

Data Analyst

UnitedHealth Group•  November 2020 - June 2022•  São Paulo - Brazil

actively contributed to Health System Management by collecting, compiling, validating, and interpreting data extracted from systems, reports, and panels using MicroStrategy, R, Python, and VBA tools. My objective was to update documentation and indicators, provide insights for improvement processes, and give visibility to the area's indicators. As a skilled Data Analyst, I led multiple Analytics projects across various healthcare programs, resulting in significant savings for the organization. By utilizing MicroStrategy for statistical analysis and Python programming, I identified potential savings of up to:  BRL 42M in the Safe Anticoagulant program;  BRL 80M in the Primary Care/Family Doctor program;  BRL 2M in the Mental Health program, and;  Additionally, I created an Automated Common Medical Prescription System in VBA for Breast Cancer patients, which performed remarkably well, producing over 1000 medical orders every 15 minutes. My efforts and contributions helped the organization achieve its goals and improve the overall healthcare services provided.

Data Analyst

NielsenIQ•  June 2019 - April 2020•  Cotia – São Paulo - Brazil

I actively demonstrated my skills as an accomplished data analyst, utilizing MRDCL, R, and Python tools to perform complex data processing and statistical analyses. I led discussions on statistics topics and played a key role in kick-off meetings where I provided recommendations on data delivery design, timing, answer scheduling, and processing questions. My outstanding achievements include: ● Leading and creating MaxDiff analyses using open-source tools such as R and RStudio, resulting in significant savings of $900.00 USD per project for the company. ● Additionally, I conducted and created a Text Mining project utilizing Python and NLP methods, analyzing 15,000 respondent interviews and delivering valuable insights to our clients. Through my expertise in statistical analysis and data analysis, I consistently delivered exceptional results and played a pivotal role in driving successful projects.