POW

Built multiple Power BI dashboards for soft product sales, retention, and callback tracking using more than 25 key metrics across macro and micro levels. These dashboards are used across India to monitor performance, spot bottlenecks, handle escalations, and improve overall customer experience.
Created detailed process-efficiency dashboards for service job cards with automated daily emails, covering adherence, turnaround time, SLA compliance, and exception cases. This helped improve visibility into operational gaps and support faster decision-making.
Worked closely with Business, Data, and Cloud teams to understand requirements, document BRDs and SOPs, define workflows, and continuously optimise analytics and operational processes.
Built product analytics dashboards for the RE App and Wingman ride analytics. Covered user engagement, DAU/MAU, churn indicators, event-level insights, clicks and actions, as well as ride metrics like trips, crashes, route behaviour, and riding patterns. These insights supported product improvements and deeper behavioural understanding.
Assisted in data engineering activities using Databricks Python and SQL, including pipeline validation, anomaly checks, data leakage detection, and performance optimisation to ensure clean and reliable data flow into BI systems.
Contributed to product management for the Germany and UK Power Apps used for bike registration and warranty. Involved in requirement understanding, documentation, defining user flows, UI and UX discussions, research, API testing through Postman, integrating government and address APIs, and monitoring operational bottlenecks to improve the end-to-end onboarding experience.
Conducted extensive API research and evaluation, mapped system interactions, validated third-party integrations, and coordinated with backend teams to ensure smooth data sync between government systems and internal RE platforms.
Explored and initiated early adoption of Generative AI and AI agents within Power BI and Power Platform, using Copilot for automations, insight extraction, and faster reporting workflows.

Led a high-impact hospital clustering project, refining affiliations and naming conventions with fuzzy matching and custom Python scripts, achieving 99.99% accuracy.
Automated complex processes using Python, SQL, and Excel, while applying meticulous manual validation to ensure data integrity and eliminate inconsistencies.
Collaborated with Novartis stakeholders, aligning data structures with industry standards and delivering high-quality, business-critical insights.

POW

Associate Consultant

Data Steward Intern