Consultant – Assistant Manager at EXL (2025-10 – Present)
- Partnering with client to drive credit card marketing analytics, enabling structured P&L tracking and campaign performance governance.
- Engineered scalable data extraction and transformation workflows across 50K+ record datasets using Python, SQL, and advanced Excel models to enhance reporting accuracy and eliminate manual redundancies.
- Architected interactive Power BI and Tableau dashboards deployed on GCP, delivering executive-ready insights to support monthly performance reviews and strategic decision cycles.
Business Analyst at Yatra Online Limited (2025-05 – 2025-10)
- Spearheaded development of SQL & Python-driven validation frameworks to strengthen pricing governance within the Central Pricing Grid for domestic B2C flight operations.
- Automated high-impact analytical workflows (Pandas, NumPy, Excel), accelerating bank share analysis, campaign effectiveness tracking, and profitability assessments through trend and cohort analysis.
- Designed granular booking-level P&L models integrating multi-source datasets to deliver deep visibility into revenue streams, discount structures, and cost optimization.
Data Analyst at Rapipay Fintech Private Limited (2023-07 – 2025-05)
- Led end-to-end data pipeline development in SQL and Python, ensuring integrity and reliability of datasets for loan portfolio analytics and delinquency monitoring.
- Implemented automation frameworks for financial reconciliations (recharge, payout, AEPS), reducing manual workload by 30% and strengthening control accuracy.
- Conducted advanced log analytics and anomaly detection across transactional systems to identify discrepancies, enhance operational precision & improve system robustness.
- Developed reusable Python-based KPI engines and analytical models to standardize reporting and support research-driven business insights, applying segmentation techniques to surface customer insights.
Data Analyst at Indian Amateur Rocket Association (2021-08 – 2023-07)
- Automated telemetry data processing and flight dataset optimization using Python, reducing manual analysis effort by 40%.
- Designed performance analytics dashboards evaluating thrust-to-weight ratios, burn-time efficiency, altitude mapping, and aerodynamic stability, improving assessment precision by 30%.
- Collaborated cross-functionally with engineering teams to execute simulation modeling and statistical validation, increasing trajectory prediction reliability by 25% and supporting three successful prototype launches.
