At Mercado Libre, the top e-commerce tech company in Latin America serving 18 countries, I excelled as a senior member of the Shipping Probabilistic Forecasting team driving impactful initiatives:✔️ Customer-Focused Solution Design: Led initiatives to develop and manage a Model Monitoring System, directly engaging with internal customers to ensure our machine learning models met their needs, enhancing reliability and accuracy.✔️ Cross-Functional Leadership: Spearheaded collaborations across Marketing, Product, Sales, and Operations, driving the integration of machine learning models into diverse business workflows, and leading training sessions to ensure user proficiency and operational impact.✔️ Innovative Problem Solving: Applied deep technical expertise to forecast demand using Time Series Models, influencing strategic business decisions and planning through data-driven insights.

Recommendation System Development & Impact: ✔️ Technologies Used: Python, implicit ALS library, TensorFlow, Google Vertex AI. ✔️ Focus: Collaborative filtering for a recommendation system. ✔️ Outcome: Enhanced customer satisfaction and targeted marketing through alternative product suggestions and identifying key demographics. Predictive analytics were used for identifying potential clients, aiding targeted business strategies. ✔️ Integration: System integrated into Walmart's digital infrastructure, improving user experience and compatibility.MLOps Leadership & Infrastructure: ✔️ Development: Built AI systems with embedded MLOps best practices, transitioning from manual to automated, scalable data pipelines using Google Vertex AI and TensorFlow. ✔️ Efficiency: Managed resource allocation for budget optimization. ✔️ Innovation: Implemented CI/CD/CT pipelines for enhanced efficiency and reliability.Collaboration & Coding Standards: ✔️ Best Practices: Enforced coding standards through refactoring and the use of modular, reusable templates for scalable ML deployments. ✔️ Deployment: Streamlined model deployment with secure hosting templates on the ML platform. ✔️ Leadership: Led senior data analysts in creating enterprise metrics for external reporting using SQL and BigQuery, ensuring accurate, reliable, and consistent weekly reporting.

As a member of the AI & Data Exploitation team, provided consulting services to the rest of the teams and departments in Walmart Chile. ✔️ Design, development, integration, configuration, and delivery of software tools for the integration, processing, storage, and visualization of data. ✔️ Solving problems in cloud-based data infrastructure (AWS, Azure, Google). ✔️ Utilizing microservices architecture and continuous delivery, as well as knowledge of security and software quality, to enable automated data services.

ZeroFox, an American cybersecurity software company, offers a cloud based SaaS product, continually enhanced for its extensive customer base through Agile practices. My role involved: ✔️ Using Python scripts for API calls to access and analyze Google Big Query and Data Studio logs. ✔️ Streamlining complex SQL queries for cost-saving optimizations of up to 50% ✔️ Presented key insights to the CTO and the entire Technology team. ✔️ Evaluating company-wide operational data to boost departmental efficiencies. ✔️ Creating dynamic Google Data Studio dashboards for executive review. Implementing predictive modeling and advanced statistics to expedite technological workflows.

I work closely with the Technology and Product Management teams to find great people to join our team, perform competitive intelligence, and help support our team's long-term growth.