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Snacks Weekly on Data Science

Snacks Weekly on Data Science

By: Pan Wu
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This podcast is about making data science and machine learning knowledge accessible and less intimidating. Every week, I will handpick one selected industrial tech blog to break it down. We will discuss some key data science concepts and machine learning algorithms, and how they are applied in those real-world applications. Subscribe to the channel and enjoy Snacks Weekly on Data Science!Pan Wu
Episodes
  • Leveraging LLMs for Automated Documentation Auditing [CVS Health]
    Jun 15 2026

    In this episode, we explore how CVS Health tackled a classic large-scale engineering operations problem: keeping application runbooks accurate, complete, and continuously compliant across hundreds of internal systems. To solve this, the team built an LLM-based automated auditing pipeline. The result is a lightweight but effective system that turns documentation compliance from a periodic manual effort into a continuous and scalable operational workflow.
    For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/cvs-health-tech-blog/automated-documentation-auditing-leveraging-llms-for-compliance-verification-13fa80b90912

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    9 mins
  • Forecasting Models for Airport Marketplace Operations [Uber]
    Jun 8 2026

    In this episode, we explore how Uber tackled one of the most operationally challenging parts of its marketplace: airport pickups. Unlike normal city rides, airport demand is highly bursty, queue-driven, and heavily influenced by flight schedules, delays, and driver positioning decisions. To solve this, Uber built a coordinated forecasting system composed of three specialized models: Estimated Time to Request (ETR) to predict queue wait times, Earnings Per Hour (EPH) to estimate airport profitability versus city driving, and Driver Deficit Forecasting to proactively reposition supply before shortages occur. This allows the platform to reduce uncertainty, improve driver behavior, and stabilize airport marketplace dynamics in real time.

    For more details, you can refer to their published tech blog, linked here for your reference: https://www.uber.com/blog/forecasting-models-to-improve-availability-at-airports

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    10 mins
  • Accelerating Experimentation Velocity with Interleaving [Expedia]
    Jun 1 2026

    In this episode, we discuss Expedia’s need to evaluate many ranking ideas quickly so that A/B testing would not become a bottleneck. We explore their three-stage experimentation funnel: backtesting to remove weak candidates, interleaving to rapidly compare promising ones, and A/B testing to validate final business impact. What made this design approach effective was using the right evaluation tool at the right step instead of forcing A/B testing to do everything.
    For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/expedia-group-tech/interleaving-for-accelerated-testing-75adc644027b

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    10 mins
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