Paulo Eduardo Email & Phone Number

Manaus, Am, Br

Manaus, Amazonas, Brasil

> Explored innovative solutions to transform data into strategic outcomes.Achieved 90.68% accuracy in personality profile classification and 97% accuracy in medical triage models.> Developed predictive models using machine learning and deep learning. Leveraged tools like Python, Scikit-learn, and TensorFlow to create impactful solutions in sectors such as e-commerce, healthcare, education, and finance.> This work contributed to process improvements and strategic decision-making in the areas served.Boosted operational efficiency by identifying critical patterns.> Detected seasonal and consumption patterns in e-commerce data, optimizing operations and resource allocation.> Applied SVD (Singular Value Decomposition) and linear algebra techniques to identify trends that helped optimize resources during peak periods.> These insights improved operational efficiency and strategic decision-making in the sector.Enhanced strategic decisions with interactive dashboards.> Developed interactive dashboards in Power BI, fostering faster decision-making in the automotive and healthcare sectors.> Integrated advanced DAX functionalities for dynamic analyses, providing real-time strategic insights.These dashboards became an essential tool for efficient data analysis.> Improved accuracy in educational predictions using supervised learning.Achieved an R² of 88.38% in academic performance forecasting, applying Random Forest Regressor and MLPRegressor.> Used Pandas, Seaborn, Matplotlib for exploratory analysis and PCA to optimize modeling.These techniques ensured high prediction accuracy and generated valuable insights into regional factors influencing educational performance.

Manaus, Amazonas, Brasil

> I participated in data analysis and predictive modeling projects in collaboration with companies associated with the institution during the Data Scientist course.> Achieved 80% accuracy in supervised models using cross-validation, ensuring greater robustness in predictions.> Reached 97.5% precision in credit risk forecasting, improving strategic decision-making in financial areas.> Boosted predictive analysis in healthcare and finance sectors.> Developed models with 82% accuracy in predicting heart diseases using logistic regression.> Applied regression analysis to identify correlations between risk factors and cardiovascular diseases.> Performed customer segmentation using RFM and K-means, generating valuable insights for retention and personalized campaigns.> Conducted financial and credit analyses with SQL and AWS, optimizing risk mitigation and improving strategic performance.> Implemented financial risk models with Random Forest, ensuring greater reliability and precision.Detected critical patterns with exploratory data analysis.> Identified relevant patterns in birth data using tools such as Pandas, Matplotlib, and Seaborn.Enhanced performance metrics in predictive models.> Utilized metrics like ROC-AUC and F1-Score to ensure high performance in predictions and supervised models.> Applied logistic regression to research data, generating strategic insights that guided practical actions.Improved trend analysis with visualization techniques.> Created interactive dashboards with Power BI, providing clear visualizations and strategic support in data-driven decision-making.> Integrated advanced Power BI and DAX functionalities for dynamic analyses in market research, retail store performance, and vaccination analysis.> Resource optimization with unsupervised learning.> Used PCA techniques to reduce dimensionality and improve the performance of predictive models.

Bachelor'S Degree In Administration, Business Administration

Activities and Societies: Musician in his spare time 😎🎹Currently pursuing a Bachelor's degree in Business Administration, building a solid.

Curso Profissionalizante, Ciência De Dados

Durante meu curso de Ciência de Dados na EBAC, adquiri uma sólida base teórica e prática nas principais áreas da ciência de dados. Aprendi.