Vartika Vijay

Business & Growth Impact

• Drove end-to-end funnel deep dives for SME, Personal Loan, and Co-Lending products—revealing drop-off patterns and unlocking improvements in approval rate, onboarding conversion, and customer experience.
• Embedded analytics into CXO and product decision-making, influencing credit policies, feature prioritization, and portfolio growth strategies.
• Introduced a test-and-learn experimentation culture, delivering measurable enhancements in conversion, fraud mitigation, and engagement.

Experimentation & Customer Insights

• Designed and executed controlled experiments on product features, risk rules, and customer journeys—improving funnel efficiency and reducing friction in acquisition.
• Used segmentation and behavioral analytics to inform targeting strategies, risk segmentation, and customer communication workflows.

Dashboards & Decision Systems

• Built real-time Tableau/Qlik dashboards for KPIs such as conversion, policy impacts, portfolio quality, and fraud triggers—accelerating decision-making across teams.
• Automated variance analysis modules that helped business teams quickly identify anomalies and take corrective action.

Cross-Functional Leadership

• Partnered with Product, Risk, Growth, and Compliance teams to translate analytical insights into operational actions.
• Led a team of analysts to drive insights for fraud, compliance, and lending strategy.

• Supported growth and product teams by creating KPI frameworks, adoption metrics, and engagement analyses for global TTS business verticals.
• Streamlined cross-team data workflows via an enterprise-wide API catalog, improving turnaround time for analytics and experimentation.
• Applied statistical techniques to generate insights on customer engagement, product delivery, and usage patterns, helping refine product strategy.
• Built a real-time swap data processing system (80% faster), improving operational experience and supporting business scaling.

• Conducted analytics for smart home IoT solutions, deriving patterns that informed product feature design and user experience improvements.
• Built logical mapping models that helped reduce energy consumption and optimize user flows.

• Early-stage research in modeling turbine components using statistical and mathematical methods.