baobab soluciones
Luis Pita-Romero Rodríguez is an accomplished Data Scientist with extensive experience in sales prediction and customer classification using advanced modeling techniques such as Random Forest, Gradient Boosting, and ARIMA. Currently, Luis contributes to baobab soluciones since September 2016, specializing in operations research and developing sales forecasting models for the hydrocarbons market. Additionally, Luis serves as a collaborator professor at Universidad Politécnica de Madrid, teaching "Advanced Analytics for Decision-making" in master's programs. Prior experience includes a role as an intern at the Department of Organization Engineering, where Luis designed mathematical models for optimizing aircraft parts production. Luis holds a Master's degree in Organization Engineering with a specialization in Advanced Project Management and a Bachelor's degree in Industrial Technologies Engineering from Universidad Politécnica de Madrid.
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baobab soluciones
Baobab Soluciones provides customized predictive and prescriptive analytics solutions. Baobab Soluciones combines the latest mathematical techniques with the talented specialists to create automatic solutions to industrial scale problems and help companies and organizations in their decision making at strategic, tactical, and operational levels.The company uses AI, big data, and operations research, a higher set of scientific techniques and disciplines applied specifically to the decision-making component of analytics, where mathematics, computer science, and engineering meet. Baobab Soluciones was founded on 2011 and is headquartered in Madrid, Spain.