Marisol Delbrey
I build the operating systems behind professional services firms.
01. About
I studied philosophy because I wanted to understand how systems of reasoning actually work, the logic underneath decisions, arguments, and institutions. That same instinct turned out to apply just as well to how organizations run.
I paired that with a CS minor at Chapman University, then spent a year as an ML/AI Fellow through a competitive UCLA and Cornell program, selected from over 1,500 applicants. I built applied machine learning skills there, and learned how to translate complex model output into something a non-technical stakeholder could actually use and trust.
Before Talley, I came at the same underlying question from a few different angles: how do you make complex systems legible and accountable? That meant operational inefficiencies in healthcare data workflows at Kaiser Permanente, a data-backed strategy that placed in the top 0.05% at Accenture's Innovation Challenge, and decades of California water data modeled as a research assistant at Chapman's Fowler School of Engineering.
Now, as PMO Lead at Talley LLP, I bring all of that together. Reporting directly to the COO, I build the reporting infrastructure, CRM systems, and automation that a professional services firm actually runs on, and I direct associate-level support to help scale that delivery.
Based in Orange County, California.
02. Impact
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36.1%
reduction in past-due AR following automation rollout
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$43,925+
documented value delivered across automation initiatives
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24hrs instant
intake turnaround after automating the process
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936
automated outreach emails sent across three campaign lists in a single week
03. Work
Automation, reporting, and operations work.
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Cellular Tower ML Model
Built a Python-based ML model to identify defective cellular towers across the U.S., translating business requirements into feature engineering specifications.
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Collections Process Automation
Built an end-to-end AR automation pipeline pulling from the firm's data warehouse, plus a dashboard and automated reminder flows.
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Client Wiki
Designed a centralized client-data dashboard to support the firm's advisory work, currently piloting with top-tier clients ahead of a year-end rollout.
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