Abhaykant Kumar

I’m a senior product and data analytics professional with 6.5+ years of experience using cohort analysis, spend behavior, and experimentation to drive retention and growth. I focus on turning ambiguous problems into measurable actions—then scaling impact through automation.

At Zolve, I analyze customer journeys end-to-end, from student-to-graduate transition to churn and credit adoption. I built an agentic analytics workflow that connects Slack, LLMs, MCP data connectors, and SQL to automate metric retrieval, root-cause analysis, and executive reporting—cutting ad-hoc turnaround time by 80% and enabling self-service analytics. I also deliver outcomes through lifecycle models: weekly/monthly churn prediction with XGBoost, leading to a 6% retention lift and 25% reduction in reward burn.

I’ve also driven meaningful product monetization improvements by designing credit-limit and targeting frameworks. Using Plaid-based salary verification and SSN checks, I enabled dynamic limit upgrades that drove a 45% uplift in ASPU, while keeping migration pressure in check. On experimentation, I design and evaluate A/B tests for offer ranking—identifying variants that increased activation by 7%—and I run lifecycle-based campaigns powered by agent-generated banners, offer constructs, and launch configurations from PM prompts.

Earlier, I delivered product analytics and operational improvements as a Business Analyst, including fraud-detection logic during onboarding, Pay Now vs Pay Later experimentation (4% uplift in payment recovery), and streamlining onboarding steps while reducing TAT by 33%. I bring the same rigor to optimization work—KPIs, RCA, funnels, cohort analysis, and ML modeling—supported by tools like SQL, Python, and GA4/Mixpanel. My goal is to keep combining analytical depth with agentic automation to help teams move faster and make better decisions.