Marlon Bomfim

Background

About Marlon Bomfim

Production Engineer with a strong background in Information Technology and a Google Professional Certification in Data Analysis. I possess advanced expertise in Python and R programming, with a focus on database structures, including extraction, transformation, and loading (ETL) of data, as well as complex queries using SQL for MS SQL Server. My experience spans data mining and the application of predictive techniques, with a focus on Machine Learning, utilizing supervised methods (Classification and Regression), unsupervised methods (Clustering and Association), and Deep Learning. I am proficient in using descriptive statistics to optimize productivity, manage leads and resources, and ensure data-driven strategic decision-making. I specialize in storytelling and data visualization, transforming complex insights into clear and impactful narratives. I use tools such as Power BI, Tableau, and Python libraries (Matplotlib, Seaborn, Plotly) in Jupyter Notebook to create interactive dashboards and dynamic reports that facilitate decision-making. Additionally, I have extensive experience with MS Excel for advanced analysis and operational research applications. In the realm of process management, I develop learning manuals and workflow mapping, ensuring clear documentation and process optimization. My approach combines Production Engineering techniques with IT tools, resulting in innovative and efficient solutions to complex challenges. Key Competencies: Data Analysis and Business Intelligence: Power BI, Tableau, SQL, ETL, Python (Pandas, NumPy, Scikit-learn). Machine Learning and AI: Classification, Regression, Clustering, Deep Learning. Process Management: Workflow mapping, UML, Lean Manufacturing, Six Sigma. Communication and Storytelling: Presenting insights with visual and narrative impact. Advanced Tools: MS Excel, Jupyter Notebook, Power BI. With a multidisciplinary profile, I aim to integrate knowledge in Production Engineering, Data Analysis, and Artificial Intelligence to drive digital transformation and operational efficiency in industrial environments. My motivation is to contribute to the creation of innovative solutions that generate strategic and competitive value for organizations.