Mavens of Data
Mavens of Data

Winning With Data Science: Real Case Studies That Actually Moved the Needle (w/ Howard Friedman)

27 February 2026 54:38 Maven Analytics

Listen to episode

About this episode

Howard Friedman, author of "Winning with Data Science", educator, and practitioner, who has spent years helping organizations turn messy data problems into measurable business wins.

If you've ever wondered what effective data science looks like in the real world, this episode is your playbook!

What You'll Learn:

  • Site Selection Modeling That Eliminated Costly Mistakes

    • How one company improved its revenue forecasts and stopped expensive cannibalization across its retail locations. Howard will walk through what went wrong, how the right product requirements were defined, and what factors were the turning point in improving the forecasts.

  • Loyalty Program Analytics That Drove Double-Digit Growth

    • 1M+ loyalty members, but the organization wasn't sure how to monetize them. Learn how cross-functional collaboration and analysis led to targeted offers, higher engagement, and the reactivation of 50,000+ dormant accounts.

  • LLM Automation in Healthcare - Cutting Documentation Time in Half

    • Howare will tell us about a machine-learning use case at one healthcare company reduced documentation time by 2.5X while maintaining 97% accuracy, freeing clinicians to focus on patients, not forms.

  • Follow Howard on LinkedIn!

    Register for free to be part of the next live session: https://bit.ly/3XB3A8b

    Follow us on Socials:

    LinkedIn

    YouTube

    Instagram (Mavens of Data)

    Instagram (Maven Analytics)

    TikTok

    Facebook

    Medium

    X/Twitter

    Want to find AI jobs?

    Join thousands of AI professionals finding their next opportunity

    We respect your inbox. Unsubscribe at any time.

    © 2026 Mavens of Data. All rights reserved.

    Common Questions

    Frequently asked questions

    Quick answers about how DevFound's AI matching, resumes, and referrals work.

    DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

    AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

    Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

    DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

    High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

    DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.