Ken Hampel, MSF

Operator | Quant Allocator | REALTOR® at Compass

Mountain View, California, United States

About

Born and raised in Mountain View, California. Fifth-generation Bay Area native. I walked on to Division I football at the University of Utah and earned a scholarship by doing things the right way — while completing two bachelor's degrees simultaneously. I've carried that mentality into everything since. I've written trading algorithms, built predictive models, developed websites, managed crews, negotiated deals, and allocated capital. Took over operations for a 35+ year-old fencing business, grew it, and sold it via SBA. I've run every function of a company — sales, operations, finance, marketing. I'm obsessed with finding a better and more efficient way to do things. Always learning, always building, always questioning. Currently at Compass and eager to see what's next.

Experience

  • REALTOR® at Compass DRE#02070551 at Compass
    Feb 2025 - Present · 1 yr 5 mos

  • Operator at Sturdy Fence Co
    Nov 2022 - Feb 2026 · 3 yrs 4 mos

    - Stepped in to scale and exit a 35+ year fencing business with no website, no digital presence, and an all-referral customer base - Grew revenue 4–5x and EBITDA 3–4x - Built company website from scratch — achieved #1 local search ranking and eliminated paid advertising by end of year 3 - Landed new home builder contracts expanding beyond the all-referral base - Sourced new lumber and hardware suppliers after 35-year supplier closed post-Covid — secured better pricing and free on-site delivery - Managed crew of 5–7 - Ran estimates, job pricing, financials, and customer communication - Priced repairs profitably when competitors wouldn't touch them — often better margins than full installs - Executed full SBA sale process start to finish in approximately one year

  • Licensed Realtor at CENTURY 21 Real Estate Alliance Group
    Mar 2023 - Feb 2025 · 2 yrs

  • Licensed REALTOR® at Compass
    Feb 2022 - Mar 2023 · 1 yr 2 mos

  • Data Scientist at Venture Sports Consulting
    Nov 2020 - Feb 2023 · 2 yrs 4 mos

    -Built and deployed machine learning models to predict game outcomes across MLB, NFL, NBA, NHL, and EPL -Developed and maintained automated data pipelines and site scraping infrastructure -Managed outside developer contractors -Applied statistical modeling and predictive analytics to real-time sports data