Rafael H.Data Scientist
Skills
A Data Scientist with a Ph.D. in Chemical Engineering, specializing in data science, with substantial experience in the enhancement of neural networks through the creation of novel mathematical functions for weight optimization and neuron pruning. Co-supervision of academic theses has focused on the development of computer vision applications and virtual analyzers. Proficient in Python, PySpark, SQL, and Power BI, with extensive use of libraries such as Pandas, Numpy, SciPy, StatsModels, Matplotlib, Seaborn, Plotly, scikit-learn, TensorFlow, PyTorch, Optuna, PyCaret, MLflow, DVC, and pytest to translate innovative ideas into actionable insights. Proven track record in collaborative environments has yielded significant advancements in predictive modeling and process enhancement, particularly within people analytics. Implementation of machine learning processes for turnover prediction employing classification, regression, and clustering techniques has facilitated strategic decision-making by elucidating root causes and identifying at-risk groups, thereby reducing turnover rates across diverse organizational contexts.
Senior Commercial Performance Analyst
10/1/2023 - Present
Analyzed, grouped, explored, and transformed information to discover strategies for modernizing and leveraging business operations. Identified risks and opportunities, generating value for the business through interpretation and availability of data. Utilized methodologies and techniques of statistical modeling and Machine Learning to evaluate customer data, creating models and rules aimed at achieving desired results. Generated comprehensive reports to support decision-making processes for Management and Direction. Developed proficiency in tools such as Python, R, and SQL, and leveraged frameworks such as TensorFlow and scikit-learn. Ensured collaborative project progress through the use of version control systems including Git and SVN.Senior Data Scientist
11/1/2021 - 10/1/2023
Led data analysis projects, utilizing advanced data mining and machine learning techniques to extract valuable insights from large datasets, thereby enhancing decision-making, increasing efficiency, and generating business value. The role involved processing and cleaning extensive datasets, conducting exploratory data analysis to identify patterns and trends, and developing and deploying machine learning models to solve specific problems. Proficiency was demonstrated in data visualization and presenting findings to business teams, often working collaboratively with other data scientists, software engineers, and business analysts to implement comprehensive data analysis solutions. Additionally, developed data governance processes to ensure data quality and integrity, conducted statistical analyses focused on HR data, and created machine learning models targeting turnover prediction. Actively promoted a data science culture within the company, coordinated internal data science projects, and advised on best practices while fostering collaboration to integrate data science methodologies into various team activities.Machine Learning Consultant
7/1/2021 - 8/1/2021
Developed proficiency in computer vision technologies and implemented advanced solutions for industrial automation of temperature sensors. Utilized frameworks such as OpenCV and TensorFlow to create and optimize computer vision algorithms tailored for precise temperature measurement and anomaly detection in industrial environments. Demonstrated expertise in Python and C++ for developing efficient and scalable applications. Leveraged deep learning techniques to enhance sensor accuracy and prediction reliability. Ensured seamless integration of vision systems with existing industrial control systems by employing OPC UA and other relevant communication protocols. Proactively conducted extensive testing and validation to ensure robustness and accuracy of the temperature sensors in real-world conditions. Additionally, maintained version control and code collaboration using Git, ensuring all project developments were systematically tracked and managed.Monitor/Intern
4/1/2014 - 4/1/2016
Developed expertise in facilitating academic courses focused on Algorithms and Programming I and II. Played a significant role in preparing and organizing classes and teaching materials. Enhanced skills in student support by clarifying doubts and providing additional examples during class sessions. Contributed to group activities including class discussions and collaborative projects. Provided valuable feedback to instructors on class effectiveness and offered suggestions for enhancements. Assisted in acclimating students to the academic environment and helped establish peer relationships.
Chemical Engineering at Federal University of Rio Grande do Sul
2019 - 2024Chemical Engineering at Community University of the Chapecó Region
2012 - 2016Environmental Sciences at Community University of the Chapecó Region
2017 - 2019Data Analysis EAD at Uncomplicate College
2020 - 2021Data Science and Big Data Analytics EAD at Metropolitan College of the State of São Paulo
2020 - 2021
Big Data Science at Semantix
8/1/2022Database Modeling and Development at Faculdade Metropolitana do Estado de São Paulo
7/1/2021QADS Academy - Data Science at mesttra.
6/1/2021Data Science from Zero at Stack Tecnologias
6/1/2020Black Belt - Six Sigma at R&L Associados
11/1/2017Green Belt - Six Sigma at R&L Associados
5/1/2016
Rafael is available for hire
Hire Rafael H.
All Howdy Candidates are vetted for skills and english proficiency.
