Over 1 year of experience in Data Science and Machine Learning Engineering, including academic and professional projects, developing skills in data analysis and machine learning.Key Activities:🔹 Predictive modeling and process optimization;🔹 Exploratory data analysis and pattern identification;🔹 Creation of interactive dashboards;🔹 Supervised and unsupervised algorithms;🔹 Advanced statistics and Big Data.Key Achievements:🔹 97% accuracy in a disease prediction project using AI, aiding early detection of critical conditions.🔹 Power BI dashboards providing clear visualizations and strategic support for data-driven decisions.🔹 Identification of seasonal patterns and consumption in an e-commerce project, improving strategies and resource allocation.🔹 Customer segmentation insights for retention and personalization strategies.🔹 Predictive modeling of academic performance with an R² of 88%, delivering accurate forecasts.🔹 Implementation of Isolation Forest for financial fraud detection with 99.21% Precision, 100% Recall, and 99.60% F1-Score, ensuring reliable transaction monitoring.🔹 A/B test analysis revealing a 14% increase in conversion rates with the new site design, demonstrating the positive impact of visual changes on user engagement.Technical Skills: 💻Programming and Frameworks:🐍 Python (NumPy, Pandas, Scikit-learn, TensorFlow, Keras).⚡ Automation with AutoML (AutoGluon, AutoViz).Databases and Big Data:🗄️ SQL, Databricks, Apache Spark, Delta Lake.☁️ AWS (S3, Athena) for large-scale data storage and analysis.Data Visualization:📊 Power BI, Streamlit, Plotly, Seaborn, Matplotlib, Excel.Statistics and Modeling:📈 Regression, Clustering (K-means, DBSCAN), Time Series, Decision Trees.ETL and Data Manipulation:🔄 Experience in ETL processes, integration, and cleaning of large data volumes.Proficiencies:🔹 Technical English: Reading and understanding code and technical documentation;🔹 Basic Spanish: Limited auditory comprehension and reading skills.I am a Data Scientist, trained through the professional program at EBAC, and currently pursuing a Bachelor's degree in Business Administration at ESBAM University. Additionally, I have completed courses in Databricks, Machine Learning, Power BI, and Artificial Intelligence, enhancing my expertise in the field.📈 Looking for opportunities to apply my knowledge in data and innovation. Let's connect!📞 Phone: +55 92 98441-8754📧 Email: pauloteclas224@gmail.com
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Analista De BiRede AmazônicaManaus, Am, Br
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Data ScientistIntuai Jul 2024 - PresentManaus, 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.
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Data ScientistEbac - Escola Britânica De Artes Criativas E Tecnologia Jul 2023 - Jun 2024Manaus, 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.
Paulo Eduardo Education Details
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Ciência De Dados
Frequently Asked Questions about Paulo Eduardo
What company does Paulo Eduardo work for?
Paulo Eduardo works for Rede Amazônica
What is Paulo Eduardo's role at the current company?
Paulo Eduardo's current role is Analista de BI.
What schools did Paulo Eduardo attend?
Paulo Eduardo attended Esbam, Ebac - Escola Britânica De Artes Criativas E Tecnologia.
Who are Paulo Eduardo's colleagues?
Paulo Eduardo's colleagues are Paulo Henrique Nascimento, Caio Oliveira, Iolanda Albertino, Luciana Sena, Silvio Silvio De Sousa, Alexandre Ferreira, Samia Silva.
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Paulo Eduardo
Art Director At Leo Burnett Tailor Made | One.Bra | Publicis GroupeRio De Janeiro, Rj -
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Paulo Eduardo
São Paulo, Sp
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