Real experience. Bold ideas. Real results.
Rapid prototyping & user testing transformed ZenSense to a Chrome extension in weeks.
Solo Founder — Early-Stage Startup
How can AI be harnessed to enhance focus and intention rather than distraction? As a solopreneur, Dan needed to validate the concept quickly while balancing limited time and resources.
Through rapid prototyping and user testing, ZenSense evolved from concept to functional Chrome extension in weeks. Early pilots measured real user behavior and informed future feature design.
Focused AI sprint identified high-value opportunities aligned to mission & budget.
Second Harvest Northland — Regional Nonprofit
Leaders wanted to understand how AI could support food access and donor engagement but faced limited resources, overwhelming vendor noise, and uncertainty about where to begin.
Through a focused AI strategy sprint, we identified the most relevant use cases for food distribution, community outreach, and reporting. Ideas were stress-tested against budget and capacity constraints, prioritizing only what could deliver real impact.
Unified AI-powered analytics. Reduced time-to-insight from weeks to hours.
Fortune 50 Technology Company — $6B Revenue | 25,000 Employees
The People Analytics function was buried in disconnected dashboards and reactive reporting. Teams struggled to scale insights across a global workforce.
Dan led the design and rollout of a unified People Analytics strategy, combining advanced AI, a centralized data stack, and a new enterprise-wide intake model co-developed with the Chief Data Officer.
AI-powered talent acquisition automation. Reduced manual work 60%.
Fortune 500 E-Commerce Company — $8B Revenue | 20,000 Employees
The company needed a faster, smarter way to understand employee sentiment, attrition risk, and hiring dynamics — at scale.
We introduced predictive attrition models, a real-time sentiment tool, and monthly data-to-exec briefings that transformed talent decisions from reactive to proactive.
AI-powered compliance management. Automated tracking across all regions.
Fortune 50 Food & Beverage Company — $130B Revenue | 155,000 Employees
Lagging data systems made workforce decisions reactive and DE&I planning difficult to track in real time.
We reengineered the analytics backbone using AWS and Cloudera, built a live Organizational Health dashboard, and introduced forecasting tools that spotlighted DE&I risks early.