About us
The University of San Francisco Data Science & Artificial Intelligence Speaker Series is produced by the Data Institute. This group brings researchers and practitioners together with students in the MS in Data Science and Artificial Intelligence graduate program, faculty, and interested members of the public to discuss topics of interest in analytics and data science.
Talks take place in person on Fridays from 12:30–2:00 pm at the USF Downtown San Francisco campus, located at 101 Howard Street in the East Cut neighborhood, at the heart of San Francisco’s downtown innovation corridor. We encourage attendees to bring their lunch and join us for these mid-day conversations.
Talk recordings are made available subject to speaker permission. You can find the recorded talks at https://www.youtube.com/channel/UCN0kf0sI01-FXPZdWAA-uMA
Upcoming events
1
Data Engineering Automation in the World of Agentic AI
101 Howard Street, 101 Howard St, San Francisco, CA 94105, USA, San Francisco, CA, USJoin us for the USF Data Science Speaker Series, featuring Deep Patel, Staff Data Engineer at Robinhood!
Learn how AI agents are changing the way data engineers build and operate data analytics. This session explores using agents to generate and maintain pipelines, investigate failures, monitor data quality, automate testing and documentation, and create reusable workflows and guardrails for safely scaling AI-assisted data engineering.
How to Crack Data Engineering Interviews
A practical guide to preparing for modern data engineering interviews, covering data modeling, system design, ETL and streaming architectures, data quality, SLAs, CDC, scalability, and common trade-offs.
The session also explains how to structure answers, reason through ambiguous business problems, and approach end-to-end design interviews effectively.About the Speaker
Deep Patel is a Staff Data Engineer at Robinhood, where he designs and builds large-scale real-time data systems powering analytics, risk, and user-facing insights.
His work focuses on product data engineering and on turning complex event streams into reliable, low-latency datasets. Deep is particularly interested in scalable data infrastructure, real-time analytics, and bridging the gap between data engineering and product impact.#USFDataScienceSpeakerSeries #MSDSAI #DataScience #DataEngineering #AgenticAI #ArtificialIntelligence #DataPipelines #DataAnalytics #DataEngineeringInterviews #CareerDevelopment #Robinhood
18 attendees
Past events
322
