Diana Catalina Solano Beltrán  new_releases

Results-driven Data Scientist and Machine Learning Engineer with over 5 years of extensive experience in developing and operationalizing predictive models to address diverse business needs. Proven track record in leading and managing high-performing software development and data science teams, ensuring seamless collaboration and the successful execution of projects. Hold a Master of Science in Industrial Engineering from Universidad de los Andes, complemented by dual Bachelor's degrees in Systems and Computing Engineering and Industrial Engineering, with a minor in Economics. Additionally, as a Stanford University Innovation Fellow, I gained valuable insights into the Design Thinking methodology through an immersive course and experience at Stanford University. This scholarship-driven program honed my innovative thinking and problem-solving skills, enriching my approach to data science projects. My expertise spans multiple industries, including education, banking, technology, logistics, and healthcare. I leverage techniques from Operations Research, Software Engineering, Business Analytics, Machine Learning, and Applied Statistics to deliver impactful solutions.