• Leverage Databricks, Power BI, Excel, Azure, Python and Tableau to transform data insights into actionable strategies, driving informed decision-making processes.• Led a team of three associates to improve NPS scores across MEISA, APAC, and US regions, achieving a 5 point increase in APAC and a 12 points increase in customer care satisfaction for Hot-line users.• Achieved a 85% reduction in a BI report size by optimizing queries and incorporating live connections to Databricks datasets.• Analysed customer interaction data, claims data, and cases data to identify pain points and improve customer service.• Utilized NLP classification to categorize interactions into categories to understand why a customer is calling, and also formulated complex matrices like customer life-cycle from initial contact to problem resolution.• Independently completed two end-to-end user stories and contributed to three additional stories as part of a six-member team.• Developed a Power BI semantic model for easier ingestion of claims-related data across various teams.

• Managed financial data gathering, cleaning, and pre-processing to ensure accuracy and readiness for analysis.• Extracted and manipulated data from relational databases using SQL; wrote optimized queries to retrieve specific datasets.• Developed dynamic visualizations such as bar charts, pie charts, maps, and line charts, increasing report readability and stakeholder engagement by 15%.• Identified KPIs and utilized DAX functions in Power BI to develop measures and calculated columns, leading to a 30% boost in operational efficiency.• Developed and optimized star schema data models to improve query efficiency and support comprehensive data analysis.

worked on developing traffic signal detection system, specific for indian roads; image stereoscopy, object depth detection system for an autonomous vehicle to compete in mahindra rise challenge.