In-Parking Expands AI Capabilities with Addition of AI Specialist

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Daniel Cordoba
Daniel Cordoba

In-Parking, a leading provider of AI-driven parking intelligence, is thrilled to announce the addition of Daniel Cordoba to its team as an AI Specialist. This addition reflects In-Parking’s continued investment in artificial intelligence and its commitment to redefining how data powers parking and mobility decision-making.

Daniel brings more than seven years of experience developing end-to-end data science solutions across fintech, e-commerce, and financial services industries. His work has focused on transforming complex data into scalable, production-ready systems that drive measurable business outcomes.

In his new role, Daniel will help advance In-Parking’s AI and analytics capabilities, including continued development of its In-Parking SIGHT platform. His work will support the delivery of real-time and predictive insights across the parking and mobility ecosystem, enabling clients to improve operational efficiency, enhance revenue performance, and make more informed, data-driven decisions.

Daniel has a strong track record of translating complex business challenges into scalable, production-ready solutions. His expertise includes machine learning, large language models (LLMs), segmentation algorithms, and cloud-based environments such as Google Cloud Platform (GCP) and Microsoft Azure. He is also experienced in a wide range of data science and visualization tools, including Python, R, Tableau, and Power BI.

“As parking systems become more dynamic and data-rich, the ability to turn data into actionable insight is more important than ever,” said In-Parking CEO Santiogo Morales. “Daniel’s expertise will help us continue to push the boundaries of what’s possible with AI and deliver smarter, more adaptive solutions through our SIGHT platform.”

Daniel’s appointment underscores In-Parking’s broader commitment to innovation and its belief that the future of parking lies in intelligent, data-driven systems that help cities, campuses, and operators better understand and manage demand.

Stay tuned for updates on how In-Parking is revolutionizing the future of parking and data through AI, or visit www.in-parking.com to learn more.

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