I'm Jay, the founder of VQuants. For the last several years I've run performance marketing and data engineering work for ecommerce brands, agencies, and enterprise clients, and the pattern was always the same. The reporting tools everyone was paying for told half the story, and the other half had to be reconstructed by hand.
So I built my own. I designed and built a real-time analytics system from scratch in Python and SQL that tracks who is on a site, what they are doing, and when, at a level of detail standard analytics platforms don't expose. It connects directly to the ad platforms and social APIs a business already runs on, so spend and on-site behavior live in the same place instead of three different dashboards that never quite agree.
That system is the foundation for the work I actually care about, multi-touch attribution models, structured A/B tests, and directional attribution studies that tell a business which channel is actually driving revenue instead of which one is easiest to take credit for.
I also run VQTechnicals, my own machine learning trading and analysis platform for stocks, futures, and crypto. It's live with real alpha users trading real capital, 1.6 Sharpe ratio, 4.5 percent alpha over the test window. Same reason I trust this approach, I use it to make my own money too, not just my clients'.
Over the next few years my focus is narrow and deliberate, full-stack engineering in service of data collection and analysis that makes online sales more efficient. Not another dashboard. Systems that change what a business spends money on.