Currently working as a Manager | Data Scientist at Analytics by Kaizen, where we deliver different  analytical solutions for the most diversified areas. With over 4 years of experience in the fields of Data Science and Machine Learning, I have worked in multiple machine learning initiatives, including demand forecasting, dynamic pricing models, job scheduling optimization and financial reporting using GenAI. I have also helped deploying ML solutions using Docker and cloud platforms, while also delivering cutting-edge Object Detection solutions with TensorFlow.
On the personal side, I strongly believe in continuous learning, by always seeking for new skills to learn, which is why, I like to work on personal projects (as a hobby), have completed several online courses and explored multiple Kaggle datasets.
One of my passion is football, which is why I have special interest, aspiration and work applied in the Football Data Science field. These include the understanding of Pitch Control and Expected Goals Models, as well as, training models for goal prediction from a game action, best set of players to buy under a given budget, player detection and shirt number identification, etc.