Sri Hari M

Created end-to-end Power BI dashboards for freight operations, shipments, finance, and sales, giving leadership real-time visibility into 30+ business KPIs.

Built Python-based ETL processes to clean and flatten complex MongoDB nested JSON data, cutting manual data preparation work by around 60%.

Analyzed customer activity using MongoDB and Power BI to identify clients inactive for more than 90 days, helping business teams re-engage customers and improve retention by about 5%.

Used MongoDB, Python, and Power BI to analyze historical shipment and sales data and support monthly revenue forecasting and performance tracking for management.

Worked closely with business stakeholders to understand reporting needs and define KPIs, ensuring dashboards supported day-to day operations as well as leadership decision-making. 

 Built Power BI dashboards and SQL reports to track key healthcare KPIs, using Python (Pandas) to clean and prepare data. This reduced manual reporting work by 30% and made performance tracking easier for management.

Worked with 100K+ healthcare claims and patient records, cleaning and shaping the data using SQL and Python to improve accuracy and reduce reporting issues and audit rework by 20%.

Automated routine data preparation tasks using Python and connected the cleaned data to Power BI, helping create 3+ interactive dashboards and enabling faster, more informed decision-making.

Conducted exploratory data analysis (EDA) on healthcare claims and patient datasets to identify trends, patterns, and potential risk indicators, supporting data-driven reporting and audit readiness.

 Prepared weekly and monthly reports in Power BI using SQL and Python, sharing clear insights and visualizations with business and operations teams.