At Tech Mahindra Allyis, I translated Global Demand Center requirements into data-driven campaign segmentation across geography, job role, and industry, improving campaign precision by 20%. I also queried and validated lead data from registration forms, events, and third-party sources using SQL.
I automated SQL-based lead de-duplication with stored procedures, identifying an improvement that reduced duplicate profiles by 25%. I built and maintained Tableau dashboards for campaign KPIs, including sends, clicks, unique clicks, and drops.
At Cognizant, I collected, mapped, modeled, validated, cleansed, and transformed financial datasets using SQL while maintaining data integrity, compliance, governance, and reporting standards. I investigated data anomalies and worked with cross-functional teams on corrective actions and longer-term data quality remediation.
My projects include analyzing and validating 100k+ e-commerce orders with SQL, building a Tableau performance dashboard, and analyzing 9k+ records with Python for Netflix content trends. I’m currently studying Data Science and Machine Learning through Scaler.
