Fernando P.Data Entry Specialist
Skills
Holds a master's degree in mechanical engineering and transitioned to a career in data science in 2012. Initially focused on developing custom analysis tools in Java to create cost-effective managerial reports, leveraging ETL processes and SQL Server. Progressed to utilizing advanced tools and libraries in Python. Currently serves as a Data Science Specialist, developing decision-making tools for managers and analysts using the Azure environment, PySpark, Pandas, and Scikit-learn.
Data Science Specialist
3/1/2022 - Present
Structured the area by creating data pipelines and developing forecasting and segmentation models. Conducted studies utilizing Natural Language Processing (NLP) techniques and created interactive dashboards using Power BI. Set up and managed the Azure environment, leveraging Databricks integrated with PySpark and other relevant libraries. Provided internal consulting services to optimize and enhance data processes and analytics.Professor of Higher Education
1/1/2014 - Present
Successfully designed and implemented curriculum tailored to undergraduate and graduate engineering courses. Developed expertise in various programming languages including MATLAB, Python, and C++ for engineering applications. Leveraged modern educational technologies such as Blackboard, Canvas, and Moodle to enhance learning experiences and facilitate course management. Conducted advanced research, contributing papers to peer-reviewed journals and presenting findings at national and international conferences. Mentored students through complex engineering projects, emphasizing hands-on learning and real-world application of theoretical concepts. Utilized CAD software such as AutoCAD and SolidWorks for teaching design principles and mechanical engineering concepts. Applied computational tools like ANSYS and MATLAB for simulations and problem-solving. Engaged in effective classroom management and pedagogical strategies to foster an inclusive and stimulating learning environment. Collaborated with industry partners to align curriculum with current technological advancements and market needs. Demonstrated strong analytical and problem-solving skills, ensuring rigorous academic standards and successful learning outcomes for students.Consulting Partner
1/1/2013 - 3/1/2018
Developed proficiency in quantitative methods including Data Science, Analytics, data analysis, operational research, and statistics to create business solutions. Presented clients with process improvement initiatives through Lean 6 Sigma methodologies. Conducted technical consultations to enhance mechanical project performance and processes. Provided training in Lean 6 Sigma and various quantitative methods.Senior Mathematical Modeling Analyst
4/1/2012 - 10/1/2012
Developed and maintained advanced Credit Score and Behaviour Score models, emphasizing strong analytical skills and proficiency in statistical modeling techniques. Utilized tools such as Python and R for data analysis and model building, and leveraged machine learning frameworks including scikit-learn and TensorFlow to enhance predictive capabilities. Implemented data visualization using tools like Tableau and Matplotlib, facilitating clear communication of model outputs and insights to stakeholders. Ensured robust model validation and performance monitoring through the use of SQL for data extraction and transformation, and maintained rigorous documentation and version control practices using Git.Mechanical Engineer
9/1/2009 - 4/1/2012
Managed the Cleanness laboratory, focusing on the degree of contamination of automotive components, and prepared detailed technical reports on lubricant analysis and Cleanness. Provided technical support for predictive maintenance across a diverse range of sectors, including but not limited to oil, automotive, and chemical industries. Responsibilities included preparation of machine diagnostics, delivering consultancies, and conducting training sessions in the field of Cleanness. Developed pricing strategies for significant industry bids.
Key accomplishments include the creation of an international Cleanness standard for a major vehicle manufacturer and the successful implementation of ISO 9001:2008. Played a pivotal role in designing and implementing new processes and decision support systems, optimizing lubricant laboratory production by reducing the registration waiting time by 30%.Application Engineer
8/1/2006 - 8/1/2009
Developed in-depth knowledge of belt and tensioner systems within the automotive industry. Applied advanced understanding of mechanical and structural engineering principles to design, test, and optimize belt and tensioner products. Utilized industry-standard CAD software such as SolidWorks and AutoCAD for 3D modeling and design validation. Conducted finite element analysis (FEA) and other simulation techniques using tools like ANSYS to predict product performance under various conditions. Implemented product lifecycle management (PLM) systems to oversee product development from initial concept through to final production.
Led initiatives in failure mode and effects analysis (FMEA) to identify and mitigate potential product issues, improving overall quality and reliability. Enhanced data collection and analysis processes through the use of statistical software such as Minitab. Collaborated with cross-functional teams, including manufacturing, quality assurance, and supply chain, to ensure seamless integration of new products into production lines. Utilized project management tools like Microsoft Project and Jira to keep projects on track and within budget.
Conducted rigorous testing in both laboratory and real-world conditions to validate product performance, ensuring compliance with industry standards such as ISO/TS 16949 and ISO 9001. Executed root cause analysis (RCA) on product failures and implemented corrective actions swiftly to maintain high customer satisfaction. Established and nurtured relationships with suppliers and industry partners to facilitate effective research and development (R&D) efforts and continuous improvement of existing products.
Adapted to emerging trends and technological advancements within the automotive sector by regularly participating in technical training sessions and industry conferences. Streamlined engineering processes through the development and implementation of best practices and standard operating procedures (SOPs), contributing to increased efficiency and reduced time-to-market for new products.
Mechanical Engineering at FEI
2003 - 2008MBA in Data Science and Analytics at University of São Paulo (College of Agriculture Luiz de Queiroz)
2021 - 2023Production Engineering at FEI
2010 - 2012Black Belt Lean 6 Sigma at Vanzolini - Poli/USP
2013 - 2013
Black Belt Lean 6 Sigma at Vanzolini - Poli/USP
10/1/2013
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