Delivered end-to-end analytics and KPI dashboards using Metabase and Databricks, supporting decision-making across finance, accounting, care operations, compliance, sales, and service delivery. Partnered with cross-functional stakeholders to gather requirements, define KPIs, and translate business needs into scalable data models and reporting solutions. Developed financial and operational dashboards for Bills & Invoicing, Budget Utilization, and Care Partner Performance, improving visibility into costs, productivity, and service outcomes. Built SQL-based transformations, reusable views, and data models in Databricks, ensuring data accuracy, consistency, and governance across reporting layers. Automated recurring dashboards and data pipelines, reducing manual reporting effort, and presented insights clearly to technical and non-technical audiences.

Senior Data Analyst at Ighty Support

January 1, 2024 - May 1, 2025

Designed and delivered enterprise Power BI dashboards using DAX, Power Query, and Power Platform, supporting healthcare finance and executive reporting. Led process automation using Python, Power Automate, and SQL, reducing manual report preparation by ~60% and improving reporting turnaround times. Collaborated with business SMEs to define KPIs and analytical requirements, sourcing and integrating data from Salesforce, SQL Server, AWS, and Azure. Developed advanced Excel and VBA-based tools for budget tracking, forecasting, and project reporting used by finance and operations teams. Applied machine learning models (regression, classification) in Python to predict billing trends and identify cost anomalies, supporting proactive financial decisions.

Data Analyst at Infosys

September 1, 2018 - June 1, 2021

Built and maintained banking analytics dashboards using Power BI and Tableau, delivering executive-ready insights through robust DAX calculations. Supported large-scale analytics using Hadoop, Hive, Spark, SQL, and Python, enabling deeper operational and financial analysis. Designed and optimized ETL workflows using SSIS and Power Query, ensuring clean, validated, and reliable datasets. Developed machine learning and statistical models (forecasting, clustering, segmentation) using Python and R to improve demand planning and customer insights. Worked closely with stakeholders to convert complex data into clear visualizations, reports, and actionable recommendations.