At Accenture, I built and deployed Python metadata parsers for Tableau and Cognos for SALT, an automated data lineage tool for enterprise systems. They enabled automated lineage extraction for 50+ BI systems and improved metadata onboarding efficiency by 40%.
I also designed metadata extraction using Antlr, T-SQL, and Python to support data visibility and governance across systems. On another Accenture project, I developed Python-based mining of healthcare license details from websites and files, including PDFs and CAPTCHA-protected sites.
At Infosys, I built an NLP-based sentiment analysis system using AWS Lambda, S3, and RDS. I also processed large-scale datasets with Dask and implemented Alteryx data auditing workflows for banking datasets, improving data quality accuracy to 90%.
Earlier at Infosys, I developed authentication modules for a cross-platform .NET application in the legal domain using Java, REST APIs, and JavaScript. In a credit-risk case study, I used logistic regression and random forest to predict customer default and built customer application scorecards; the scorecard helped reduce credit loss by 3%.
