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Mario Tristan Del Pino

Mario Tristan Del Pino

AI Data Technical Specialist
IBM
LinkedIn Profile

Biography

Mario Tristán Del Pino is an AI Data Platform Technical Specialist and Customer Success Manager at IBM, based in Madrid. He is also the founder of Datatris, a freelance data-science consultancy focused on helping mid-market and large companies turn their existing data into business value.

An industrial and energy engineer by training with a master’s in Data Science (Machine & Deep Learning), Mario has 6+ years of experience delivering data-analyst and data-science projects across sectors such as industrial, energy, food, insurance, and services. His work spans machine learning, automation, reporting, and data-processing solutions, including digital twins, CRM/ERP integrations, lead-scoring models, churn and fraud detection, sales forecasting, and process optimization using Python, R, SQL, and cloud platforms (AWS, Azure, GCP).

At IBM, he focuses on AI data platforms and customer success, combining technical depth with strong client-facing skills in pre-sales, solution design, and project delivery. Through Datatris, he has worked with clients like Aristocrazy / Joyería Suárez, Switch Energía, Walmeric (Grupo Globant), Silbon, and Inprocessgroup, handling everything from pre-sales and architecture to development and handover.

Session

  • Use CaseAI For TechSpeaker

    Use Case 8 - Building a Voice Agent for Sports Centre Customer Service

    Tuesday 22 September, 17:30 – 17:55Main Stage

    IBM & Baskonia Alaves Group present the design and deployment of an AI voice agent for customer service, beginning at the BAKH training and leisure center and built to extend across the group. The session covers the architecture behind the solution, the integration with existing booking and membership systems, and the operational results observed to date. It also addresses the practical challenges of conversational voice in a live environment, the criteria used to decide what the agent handles and what escalates to a human team, and what the initial deployment revealed about scaling further.

    With Jesús Beatove

AI
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