Daniel Ortiz brings over a decade of experience in data science and artificial intelligence. His expertise spans machine learning, predictive analytics, and big data technologies. As a Senior Data Scientist, he leads complex projects that transform raw data into valuable business insights, helping organizations make data-driven decisions and optimize their operations.

Throughout his career, Daniel has successfully implemented numerous AI solutions across various industries, from healthcare to finance. His technical proficiency combined with strong business acumen allows him to bridge the gap between technical capabilities and business objectives, delivering measurable results for our clients.

Personal Info

Daniel holds a Ph.D. in Computer Science with a specialization in Machine Learning from MIT. He regularly contributes to leading tech conferences and has published several papers in prestigious journals. His commitment to continuous learning and innovation makes him an invaluable asset to our team and clients.

Beyond his technical expertise, Daniel is passionate about mentoring junior data scientists and promoting data literacy within organizations. He believes in creating sustainable, scalable solutions that empower teams to leverage data effectively in their daily operations.

When not working with data, Daniel enjoys rock climbing, playing chess, and contributing to open-source AI projects. His balanced approach to work and life reflects in his thoughtful problem-solving abilities and innovative solutions.