At Prolax IT Solutions Private Limited, I reviewed business datasets for accuracy, completeness, and relevance to support AI model training and quality assurance. I validated over 2 million business records and provided feedback to improve AI training data.
I identified duplicate and missing data in customer and operational datasets, improving data reliability by 18%. I also resolved schema drift and reconciliation discrepancies and monitored data freshness to support more reliable reporting and AI training inputs.
I managed sensitive PII through tokenization and masking, enforced role-based and least-privilege access, and followed data security guidelines. I hold a Master of Science in Management (Business Analytics) from St. Francis College and certifications in data analytics and business intelligence.
