Hi! I'm Winni (she/her) - an emerging data professional with cross-industry experience skilled at uncovering insights that inform smarter strategic decisions and owner/operator of Winni Paul Consulting. Let's connect!

We’re spotlighting tech across intersections of industry - civic tech, ed tech, fintech, health/medtech, and more beyond AI. Real companies. Real stories. Real connections.

We aim to raise awareness and give attendees access to connect with local and national organizations. Learn how your diverse backgrounds are valuable and have a place in tech. Whether early career, established professional, or executing a career pivot, you’ll leave this event with connections and inspiration.

Host/Producer: Winni Paul Consulting
Premier Presenting Partner: Out In Tech, the world's largest non-profit community of LGBTQ+ technology leaders.
Platinum Partner: Technologists for the Public Good, a national professional association of technologists who are passionate about creating effective government services.

Additional partnership & sponsorship opportunities available

This event is part of CT Tech Week, a statewide series bringing together founders, investors, operators, and community leaders shaping Connecticut’s innovation ecosystem.

🚀 Tech Journey Highlights:

• Currently in a 6 month data science fellowship with The Knowledge House
  - AI for Impact: Small Business Challenge hackathon -> winning team
• Microsoft Power BI Data Analyst training completed (cert tent June 2026)
  
• Technologists for the Public Good member
  
• Out In Tech Leadership Institute (Oct 2025); Ditigal Corps (Virtual Build Day - Nov 2025)
  

🔍 Looking:
virtual builds, contract projects, networking, professional development opportunities, etc

📘 Current Quest:
Harnessing the power of past professional work in other sectors, personal lived experience, and the energy of a live-action musical as I transition to tech.

🌟 Did You Know?:
I was an English major in undergrad aka have a propensity for preposterous puns and love alliteration.

One machine can do the work of fifty ordinary people. No machine can do the work of one extraordinary me