Forward Deployed AI Engineer · Agentic Systems · Applied AI

QUASH ANALYTICS

Agentic AI, embedded directly in how your business runs.

Founder

Evan Quash

Founder & Lead Data Scientist

I've spent my career turning messy, overwhelming data into decisions that actually move the needle. From optimizing resource allocation for government agencies to building LLM based solutions that improve patient outcomes for healthcare providers, I've seen what happens when businesses finally start using their data intentionally.

I started Quash Analytics because I kept seeing the same problem: small and mid-size businesses sitting on valuable data with no idea what to do with it. That's the gap I built this company to fill.

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Background

Education & Experience

  • BS, Data Science, UC Santa Barbara
  • MS, Business Analytics, University of Notre Dame
  • Big Tech: large scale data infrastructure & agentic ML pipelines
  • Finance: risk modeling & portfolio analytics
  • Healthcare: predictive patient outcomes & operational automation
  • Government: resource optimization & public sector analytics
  • Private Aviation: agentic lead scoring & sales automation
  • Retail, Cybersecurity & Media
Case Study

Real results for real clients.

Aviation Lead Automation Project-Based

SilverAir Private Jet

Santa Barbara, CA

Private Aviation · Luxury Travel

The challenge: SilverAir's advisers were managing a high-value client base with fragmented data and manual processes. Leads were tracked inconsistently, follow-up was reactive, and no system told advisers which prospects were most likely to convert.

The solution: Quash Analytics built an agentic layer on top of HubSpot that scores every lead, prioritizes outreach automatically, and routes follow-up tasks to the right adviser at the right time, turning a passive CRM into a system that runs lead gen and follow-up on its own.

"Before this engagement, our advisers were spending hours on admin work that had nothing to do with selling. Now, with the automations Quash Analytics built, we have less work to do and more time to focus on what matters."

Sales Leadership, SilverAir

Results

↑40%

Adviser follow-up efficiency

↓60%

Manual data entry time

What we built

  • ▸Full CRM administration & data architecture in HubSpot
  • ▸Custom sales pipeline design & stage definitions
  • ▸Agentic lead scoring model that ranks prospects by conversion likelihood
  • ▸Automated lead gen and follow-up agents that route and prioritize outreach
  • ▸Real-time dashboards for pipeline health & adviser performance

How the agentic layer runs

Why Quash Analytics

Enterprise-grade agentic AI,
built for teams of any size.

Most consultancies build for enterprise budgets and enterprise timelines. We embed as forward deployed engineers and build agentic systems that fit how your business actually runs, at any size.

01

We speak your language

We translate complex analysis into plain, actionable decisions your team can act on immediately.

02

We work with what you have

We plug agentic systems directly into the data and tools you already have, messy spreadsheets included, and build from there.

03

We're accountable for results

Every engagement ends with something running in production: a model, an automation, a measurable result.

One skill set, applied across six industries.

Case Studies

Real problems. Real results.

These aren't projections, they're outcomes we've already delivered for real clients.

$3.5M
Healthcare Sector, Annual Savings

Patient Readmission Risk Prediction

A leading healthcare provider faced high patient readmission rates, a costly problem both financially and for patient outcomes, and had the data but no agentic system in place to act on it before discharge.

The Problem

High readmission rates driving up costs and reducing capacity, with no early-warning system to flag at-risk patients before discharge.

Our Approach

Deployed an agentic ML system that processes patient records, vitals, and treatment history in real time and scores readmission risk automatically at the point of discharge.

The Result

7% reduction in readmissions. $3.5M saved annually. Measurably improved patient outcomes across the provider network.

$1.2M
Education Sector, Annual Savings

District Resource Allocation

A regional school district was spending more than necessary on staff and transportation while underserving the schools that needed support most, and needed a system that kept working long after the initial analysis.

The Problem

Reactive, manual resource allocation created waste in some areas and shortfalls in others, with no system forecasting demand ahead of time.

Our Approach

Built an agentic forecasting system that analyzes historical demand, seasonal trends, and demographic data to predict resource needs by school and route, then feeds those predictions directly into planning.

The Result

24% improvement in allocation efficiency. $1.2M in annual savings. Improved service delivery to underserved schools.

What we stand for

Values & Principles

Integrity

We tell you what your data actually says, even when it's not what you hoped to hear.

Innovation

We track new agentic AI methods and tools continuously, always in service of your outcomes.

Client-Centricity

Your success defines ours, since every solution is built around your specific context, constraints, and goals.

Diversity

As a Black-owned business, we bring diverse perspectives and a commitment to inclusive, equitable solutions.

Let's talk about your data and your systems.

Tell us what you're working with and what you're trying to build, and we'll take it from there.

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