-> Overview:
I have a bachelor’s degree in physics with academic and professional experience in the field of Data science. In this context, I've worked on projects like demand time series forecasting, stock out analysis and prediction, churn forecasting, customer segmentation and NLP algorithms for product similarity and taxonomy of products.

-> Details:
In general, my projects focus on developing Data Science solutions that become API services (flask), accessible by the client through a front-end interface. Some of these front-ends were already developed by me (React, Django and Streamlit). The main languages ​​I work with on a daily basis are Python/PySpark and SQL

-> Approach:
My approach is straightforward: First solve the problem as quickly as possible. Then, if there is still a need, think about improving the solution.