I have 15+ years of experience working in consulting, product analytics and data science. In the current role of Senior Director of Science at Revenue Analytics, I lead a team of data scientists that develops innovative and scalable machine learning and optimization features for travel and hospitality SaaS products.Engineer by formation, I love to solve problems at the intersection of data, analytics and business. I measure success based on the ability of the product to make customers’ lives easier and get them excited about the value that advanced analytics brings to day-to-day business operations and strategic objectives.Some of my key achievements include leading large-scale implementations of revenue management systems that generate forecasts and price recommendations for close to 50% of global cruise travel and US hotels stays, building analytical engines for the first easy-to-use multi-property hotel app (N2Pricing) and being recognized as a Franz Edelman Award finalist in 2020.My industry expertise spans across travel, hospitality, automotive, and retail sectors with analytical applications in statistical modeling, customer segmentation, machine learning forecasting, mathematical programming for inventory and pricing optimization problems, and price sensitivity models.I love to talk about the present and future of machine learning and generative AI and presented to INFORMS and Revenue Management and Price Optimization Conferences and Georgia Tech on topics related to the implementation of optimization and forecasting algorithms. I'm always looking to grow my personal and professional network. Feel free to connect me via LinkedIn.