Gabriela X.

I am a Ph.D. candidate in chemical engineering and a data scientist with native proficiency in Portuguese and fluent English skills. I have a strong background and hands-on experience in machine learning. I am proficient in Python programming and have successfully applied machine learning algorithms for various tasks, such as classification, regression, and clustering. I am well-versed in popular libraries like scikit-learn, TensorFlow, Keras, and PyTorch, and have utilized them to build and deploy advanced models. Additionally, I have expertise in web scraping, data manipulation, and exploratory data analysis using Python. This allows me to efficiently extract and preprocess data, uncover meaningful insights, and drive data-driven decision-making. Beyond data science, I have a solid background in computational fluid dynamics (CFD) and utilize tools like Comsol Multiphysics®. Currently, I am focused on integrating numerical techniques, computer simulations, and machine learning to solve complex engineering problems. This multidisciplinary approach allows me to leverage data-driven insights in various engineering domains.