Senior Product & Business Analyst | Business Analytics, Experimentation & Growth

I’m a Business Analyst focused on solving business-critical problems through data. I specialize in breaking down ambiguous product and operational challenges into measurable metrics, identifying root causes, and driving decisions that impact conversion, retention, and revenue.

My work typically involves:

• Diagnosing funnel drop-offs and retention bottlenecks
• Designing and evaluating A/B experiments
• Replacing misleading metrics with decision-grade KPIs
• Translating complex system behavior into business impact

These projects demonstrate how I approach product problems using data, experimentation, and metric design.

• Flowgrid – Activation Quality Diagnosis: Audited an onboarding funnel to expose a 98% "Activated" vanity metric that was masking a 99% functional churn risk.
  • Impact: Identified a critical onboarding failure and restructured the product roadmap to gate workflows, directly optimizing long-term retention.
• Causalyn – Precision Targeting with Causal Uplift: Built a Causal Uplift Model (T-Learner) to isolate incremental revenue and optimize a B2B targeting strategy.
  • Impact: Captured ~80% of total campaign value using 61% of the budget, improving targeting efficiency while eliminating churn risk in high-value segments.
• Ravenstack – Revenue Retention Strategy: Conducted a top-down retention audit spanning Growth Efficiency and Cohort Retention to diagnose a 66% lifetime account attrition rate.
  • Impact: Exposed a massive long-term revenue risk and influenced a strategic pivot from volume-led to Enterprise-led durability.

• CartFlow – Checkout Redesign A/B Test: Blocked a high-leverage UI shipment by proving the statistical evidence was insufficient to offset the conversion risk.
• PlayGate – Progression Gating Experiment: Demonstrated why statistical significance alone is not sufficient for shipping core mechanics without measuring long-term user frustration.
• Retail Sales Operations Analytics: Built end-to-end enterprise BI infrastructure involving data cleaning, star schema modeling, and SQL pipeline optimization.

• Analytics & Engineering: SQL (CTEs, Window Functions), Python (Pandas, Scikit-learn, Time Series), R, PowerShell.
• AI / Efficiency: Prompt Engineering & LLM Workflows (ChatGPT/Gemini) for pipeline debugging and code generation.
• Visualization: Power BI (DAX), Tableau, Excel, SSRS.

I am currently exploring Senior Business Analyst / Product Analyst roles where I can work on:

• Conversion, retention, and growth bottlenecks
• Experimentation-driven product decisions
• Marketplace or consumer product ecosystems

📫 Let's connect: LinkedIn | saishyam43@gmail.com