At Mercer, I analyze multinational corporations’ rewards and benefits data, including incumbent deviation analysis and compensation benchmarking against industry standards. I generate reports averaging approximately 2 million records using Python and Excel.
Previously, as a Senior Analyst at Integreon, I used Python and Excel to extract and clean data from projects averaging 40–50 million records. I also worked with PII, PHI and PCI data on projects subject to HIPAA, GDPR and FERPA requirements.
At Integreon, I integrated automated scripts with existing extraction workflows to improve consistency and operational efficiency across client deliverables. At UnitedLex, I assessed document data to identify patterns and developed automated workflows for incident detection and response.
I’m pursuing a Master’s in Data Science at Vellore Institute of Technology. My work and studies include data analysis, machine learning, and visualization with Power BI and Tableau.
