Beatriz Passanezi

• ● Built a demand forecast model to assist purchase decisions for one of the biggest Brazilian shoe companies.

• ● Led a team of 4+ people with data engineers, software engineers, and data scientists in developing a commodity price prediction tool to be used as a SaaS for McKinsey clients.

• ● Established a supply chain optimization model for a multinational commodity company with over 100 assets managed in Latin America and assisted in integrating the model with a web application, collaborating extensively with software engineers, data engineers, designers, and business analysts. The model was used in S&OP and S&OE planning, increasing the company's competitiveness and agility in responding to uncertain economic scenarios.

• ● Developed a fleet optimization model and pricing model for a rental car company applied in over 200 stores in Brazil, helping the company increase total revenue.

• ● At QuantumBlack, given the experience I had across different industries, I was able to familiarize myself with multiple industries and advanced analytics techniques, improving not only my technical knowledge but business knowledge as well.

• ● Acted as an MLE for 6 months during my internship, assisting the team in developing a model monitoring tool and integrating deep learning models into the company's deployment infrastructure.

• ● Improved the company's chat classification model by over 10 features with real-time information, enhancing overall customer service and satisfaction.

• ● Analyzed multiple A/B tests to analyze customer response to different app features.

• ● Engineered a new phone call classification model leveraging forecasting techniques, routing customers to the appropriate support area and optimizing the customer experience.company.

• ● Integrated 2 new models in the company's infrastructure, working closely with the data engineering and software engineering team