Somesh Banerjee
Data Analyst @Cardinal Health
Signup · Get unlimited contacts
WORK HISTORY
Data Analyst @Cardinal Health
MA, US
Architected advanced SQL pipelines using CTEs and window functions to consolidate multi-source healthcare datasets, improving reporting accuracy by 32% and reducing manual reconciliation time by 45%.• Developed interactive Power BI dashboards with optimized DAX measures and star-schema data modeling, accelerating executive decision cycles by 28% and standardizing KPI reporting across 5 business units.• Engineered automated ETL workflows in Python leveraging Pandas and NumPy to transform 10M+ records weekly, decreasing data processing time by 40% and enhancing data quality compliance by 30%.• Optimized Oracle SQL queries and indexing strategies to cut dashboard load times by 38% while supporting high-concurrency enterprise reporting environments.• Led A/B testing and regression-based statistical analyses to evaluate pricing and supply chain adjustments, increasing operational margin by 6% and improving forecast reliability by 22%.• Implemented data validation frameworks and anomaly detection models within Jupyter environments, reducing reporting discrepancies by 35% and strengthening audit readiness standards.
EDUCATION
Northeastern University
Masters of Science , Information Systems
SIES Graduate School Of Technology
Bachelor of Engineering - BE(Computer Science), Computer Science
ABOUT SOMESH BANERJEE
Data Analyst with 4 years of experience driving data-driven decision-making across healthcare and enterprise environments. Specialized in advanced SQL, Python, ETL pipeline development, and BI solutions using Power BI and Tableau to transform complex datasets into actionable insights. Strong foundation in statistical analysis, A/B testing, and data modeling, delivering measurable improvements in reporting accuracy, process efficiency, and KPI performance. Proven ability to partner with cross-functional stakeholders to translate business requirements into scalable analytics solutions.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.