Data Science · AI · Machine Learning · Business Analytics

QUASH ANALYTICS

The team behind your data strategy.

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 predicting 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 & ML pipelines
  • Finance — risk modeling & portfolio analytics
  • Healthcare — predictive patient outcomes & operational efficiency
  • Government — resource optimization & public sector analytics
  • Private Aviation — demand forecasting & operational intelligence
  • Retail, Cybersecurity & Media
Case Study

Real results for real clients.

Aviation Sales Ops 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 there was no visibility into which prospects were most likely to convert.

The solution: Quash Analytics built a centralized predictive analytics layer on top of HubSpot — turning a passive CRM into an active intelligence system that tells advisers exactly who to contact and when.

"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
  • ▸Predictive lead scoring & conversion likelihood models
  • ▸Automated workflows to route, prioritize & follow up on leads
  • ▸Real-time dashboards for pipeline health & adviser performance
Why Quash Analytics

You don't need to be a Fortune 500
to benefit from data science.

Most data consultancies are built for enterprise. We're built for businesses that are ambitious, growing, and ready to make smarter decisions — at any size.

01

We speak your language

No jargon. No overpromising. We translate complex analysis into plain decisions your team can act on immediately.

02

We work with what you have

You don't need a massive data team or perfect systems. We work with your existing data — messy spreadsheets and all — and build from there.

03

We're accountable for results

We don't hand you a report and disappear. Every engagement ends with a clear outcome — a model, a decision, a measurable improvement.

Case Studies

Real problems. Real results.

These aren't projections. These are outcomes we delivered for real clients.

.2M
Government Sector — Annual Savings

Resource Allocation Optimization

A state government agency was struggling with inefficient resource distribution across public health services — spending more than necessary while underserving the communities that needed help most. They needed a data-driven solution, not a gut-feel reallocation.

The Problem

Reactive resource allocation leading to waste in some areas and shortfalls in others, with no predictive visibility.

Our Approach

Built a predictive analytics model analyzing historical demand patterns, seasonal trends, and demographic data to forecast resource needs by region.

The Result

25% improvement in allocation efficiency. .2M in annual savings. Improved service delivery to underserved communities.

.5M
Healthcare Sector — Annual Savings

Patient Readmission Risk Prediction

A leading healthcare provider faced high patient readmission rates — a costly problem both financially and in terms of patient outcomes. They had the data but lacked the analytical infrastructure to act on it proactively.

The Problem

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

Our Approach

Developed and deployed an ML model processing patient records, vitals, and treatment history to score readmission risk at discharge.

The Result

15% reduction in readmissions. .5M saved annually. Measurably improved patient outcomes across the provider network.

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 stay ahead of the curve so you don't have to. New methods, new tools — always in service of your outcomes.

Client-Centricity

Your success defines ours. 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.

Tell us what you're working with and what you're trying to solve. We'll take it from there.

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