Senior Data Consultant – Client: PayPal at SPI Global (Straive) (2025-06 – Present)
- Built a multi-agent (ReAct-based) agentic fraud response system to detect fraud spikes, perform automated root cause analysis (RCA), and deploy ML-driven mitigation strategies in near real-time, reducing TAT from 7 days to less than 6 hours and preventing multi-million USD fraud losses.
- Designed and implemented near real-time alert systems leveraging transactional patterns, behavioural analytics, and anomaly detection to flag high-risk cohorts early, enabling proactive loss prevention.
- Developed a multi-agent RCA engine with iterative reasoning loops and parallel LLM tool execution, enabling automated deep-dive analysis across fraud dimensions (geo, authentication, device, merchant).
- Automated fraud monitoring and alert generation workflows, significantly reducing manual intervention and improving response efficiency.
Product Analyst - Digital Lending — BSFI at Finbox (2024-06 – 2025-06)
- Developed a fraud detection model using bank statement metadata and behavioral heuristics, identifying 4% high-risk users, reducing potential loan fraud by INR 10L/month.
- Increased user eligibility by 15% by analyzing funnel drop-offs in KYC, PAN validation, and document uploads.
- Built Grafana alerts and automated Airflow DAGs to streamline reporting pipelines, reducing manual workload by 40%.
- Created dashboards for eligibility rate, disbursal funnel, and fraud detection performance using BI tools and SQL.
- Designed normalized data models for loan lifecycle (application to repayment), improving ETL pipeline efficiency and reducing query time by 35%.
- Built end-to-end LOS dashboards and analytics for multiple lenders, increasing visibility into funnel performance and disbursal metrics.
- Led client-level data integrations and ETL pipeline migrations, resulting in smoother onboarding and improved client satisfaction.
Data Analyst - Banking at Finbox (2023-06 – 2024-06)
- Improved income detection model accuracy by 30% using SQL, Python, and data-driven logic enhancements.
- Drove product growth from INR 30L to INR 1Cr/month by onboarding 10+ clients, conducting POCs, and delivering insights for business expansion.
- Built and automated business growth dashboards and reports using Python and pandas, tracking key metrics like LTV, churn, and retention.
- Improved product quality by reducing client tickets by 35% by addressing data extraction quality issues.
- Enhanced bank statement extraction accuracy from 70% to 90% by developing an internal tool, reducing the process of adding new banks from 6-7 hours to 1 hour.
- Analyzed 1.8Cr+ daily user transactions, uncovering spending behavior patterns to support Business Rule Engine (BRE) policies, resulting in reduced risk and improved profitability.
- Developed dashboards and funnels over multiple complex user lead funnels related to Account Aggregation (AA) and banking.
Quality Analyst at Pavna Group of Industries (2021-12 – 2023-05)
- Reduced in-house rejection rate by 30% through RCA and implementation of corrective action workflows.
- Improved production schedule adherence via performance dashboards and metrics analysis.
Junior Engineer at Aligarh Die Casting (2019 – 2021)
- Reduced part rejection from 40% to 10% via quality inspections and proactive ticket handling.
