David Kim is a co-founder, data architect, and business strategist specializing in helping companies achieve rapid, sustainable growth through the power of data clarity and precision.As Co-Founder of Volv, David focuses on leveraging data engineering and predictive analytics to guide business leaders toward actionable solutions that drive revenue growth and team alignment. With a track record of scaling businesses to eight-figure revenues in record time, David’s expertise lies in dissecting metrics, prioritizing critical improvements, and building scalable systems that unlock untapped potential.David’s entrepreneurial journey began at the age of 20 when he founded a dry-cleaning business, securing contracts with Fortune 500 companies like Starbucks, Alaska Airlines, and Vulcan. Since then, he’s led digital marketing initiatives, scaled multiple e-commerce and supplement companies to $3 million+ in monthly revenue, and consulted for brands like Sellit, Brendan Kane, and Jeremy Miner.David understands that, while data is neutral, people are not – and that requires clarity and commitment to what will actually move the needle to help improve and scale one’s business.A few career highlights:- Scaled three companies to eight-figure revenues within 6-8 months by prioritizing key metrics and streamlining operations.- Built predictive data systems to forecast business outcomes and align strategies with goals 3-6 months ahead.- Delivered executive-level consulting for marketing and sales leaders, empowering teams to optimize performance.Areas of authority:- Data Engineering and Predictive Analytics- Business Growth and Revenue Optimization- CRM System Design and Process Improvement- Executive Coaching and ConsultingDavid’s passion for innovation and numbers is matched by his commitment to delivering results that empower teams and businesses to grow with clarity.Outside of his professional endeavors, David remains connected to his entrepreneurial roots and enjoys discovering new strategies to bring out the best in both people and systems.