Akash Pathak

• Analyzed 1.5M+ customer interactions using Databricks, Power BI, Excel, Azure, Python, and Tableau to drive data-driven strategies. • Led a team of 3 associates, boosting NPS by 5 points in APAC and 12 points in customer care satisfaction for Hot-line users. • Applied SAFe (Agile methodology), delivering 2 end-to-end user stories and contributing to 3 others as part of a 6-member cross-functional team. • Improved reporting efficiency by 30% through weekly data quality scorecards and insights for operational teams. • Developed NLP classification models to categorize customer interactions and track customer lifecycle metrics. • Created Power BI semantic models for seamless claims-related data ingestion, improving cross-team collaboration. • Reduced data processing time by 20% by automating data pipelines and optimizing ETL processes using Python, Azure & Power BI, improving overall efficiency for the team.

• 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.