Shyngys K.

Numbers lie until you ask the right questions. Most analytics problems aren't data problems. They're architecture problems - the wrong things are being measured, the systems don't talk to each other, and leadership is making budget decisions on numbers nobody fully trusts. I fix that. I build revenue intelligence systems that connect marketing, CRM, and finance into a single source of truth. The kind of infrastructure where a CMO can see true CAC by cohort, a CFO can reconcile Stripe against HubSpot without a spreadsheet war, and an ops team can stop spending 10 hours a week pulling manual reports. Recent work includes: * Unified Populi, HubSpot, and Stripe into a single lifecycle model for a B2B education company, tracking every stage from lead to payment across 14+ cohorts * Identified fee pricing impact on applicant quality vs volume through funnel and cohort analysis, giving leadership a clear framework for a revenue-critical decision * Rebuilt attribution and acquisition tracking for an e-commerce business, exposing search term waste and reallocating spend toward higher-margin segments * Reduced manual reporting time by over 90% through automated pipelines and standardized KPI definitions across teams What I work on: Revenue architecture - CAC, LTV, cohort modeling, marketing-to-finance reconciliation Data infrastructure - BigQuery, SQL, dbt-style transformations, star schema modeling CRM & payments - HubSpot, Populi, GoHighLevel, Stripe, QuickBooks Visualization - Looker Studio, Power BI, executive KPI dashboards Automation - Python, Google Apps Script, API integrations, Google Cloud I work with SaaS, education, and e-commerce companies that have outgrown their current reporting setup and need something they can actually rely on. If you're looking for someone to build a dashboard, I'm probably not the right fit. If you need the system behind the dashboard to actually work - let's talk.