ABOUT US

Mission and Vision

At Quash Analytics, our mission is to empower businesses with data-driven insights that foster innovation and efficiency. We envision a world where data is seamlessly integrated into every decision-making process, driving unparalleled growth and success for our clients.

Evan Quash

Founder and Lead Data Scientist

Evan Quash brings a wealth of experience and a unique perspective to the company. Holding a BS in Data Science from UC Santa Barbara and an MS in Business Analytics from the University of Notre Dame, Evan combines a strong educational foundation with extensive experience in Big Tech, startups, finance, retail, cybersecurity, and media. His versatile data expertise and problem-solving skills are complemented by his strong communication abilities, allowing him to articulate complex data insights in clear, understandable language, fostering collaboration and informed decision-making.

QUASH ANALYTICS

Values and Principles

Integrity

We maintain the highest ethical standards in all our work.

Innovation

We embrace new technologies and methodologies to stay ahead.

Client-Centricity

Our clients success is our success. We tailor our solutions to meet their unique needs.

Diversity

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

Projects

Resource Allocation Project - Government Sector

Quash Analytics partnered with a state government agency to develop a predictive analytics solution aimed at optimizing resource allocation for public health services. By analyzing historical data and current trends, the project improved the efficiency of resource distribution by 25%, reducing costs by $1.2 million annually and enhancing service delivery to underserved communities.

Patient Risk Factors ML Project - Healthcare Sector

In collaboration with a leading healthcare provider, Quash Analytics implemented a machine learning model to predict patient readmission rates. This project involved processing vast amounts of patient data to identify key risk factors. The result was a 15% reduction in readmissions, saving the healthcare provider $3.5 million annually and significantly improving patient outcomes.

CLIENT REVIEWS