At Baufest, as a Data Scientist, I played a key role in delivering multifaceted projects. I calculated the likelihood of interruptions in transformers for SAESA Chile and flight delays for LATAM Airlines, requiring data-intensive modeling. For YCH, I used ARIMA and Prophet for demand estimation. At LESSSCHWAB, I developed a service recommendation engine using ML techniques. I also created a customized GPT chatbot for FEMSA and Baufest and used NLP for data request tickets at Johnson & Johnson. Additionally, I leveraged ML for damage detection in containers for Cetrans/Contopsa and detecting fish schools in the ocean for TASA. These experiences demonstrate my ability to deliver high-impact data-driven solutions.

As a Data Scientist and Data Analyst for the American Express Corporate Card, I held integral roles in developing and managing sophisticated data operations. My responsibilities encompassed crafting comprehensive and intuitive dashboards for managerial oversight, administering CRM data to ensure the efficient and accurate flow of information, and developing robust machine learning models for strategic marketing initiatives. Leveraging classification and regression models, I drove efforts in areas like email marketing optimization, churn prediction, and demand forecasting. This work not only enhanced the effectiveness of our marketing efforts but also provided valuable insights that informed strategic decisions, ultimately contributing to the betterment of customer engagement and retention strategies.