01 : About me
Background
Data Scientist in constant learning. I implemented an inventory optimization system that reduced warehouse levels by more than 20% and have automated key processes for generating reports and decision-making dashboards. With strong knowledge in machine learning, data management, and predictive analytics, I am proficient in programming languages such as Python and SQL, as well as tools like Sklearn, Pandas, Numpy, XGBoost, LightGBM, Git, and Tableau. Additionally, I have experience integrating solutions with Google Workspace and Apps Script
Perspective
As an Industrial Engineer specializing in Data Science, my focus has been on implementing advanced analytical systems that inform and guide strategic decision-making, as well as automating processes to enhance operational efficiency. One of the most rewarding challenges I have faced was the implementation of a Holt-Winters predictive model to reduce raw material warehouse inventories by 20%.
Technical Skills and Competencies
My technical skills span programming languages such as Python and SQL, as well as analytical tools like Tableau, enabling me to uncover insights and drive continuous improvement. With several projects showcasing my analytical and strategic abilities, I am always seeking the next opportunity to apply my expertise in data science and operational leadership in environments that value innovation and excellence.
