Invoice Automation using Machine Learning and GenAI. • Automated PDF invoice processing by detecting and cropping invoice tables using Table Transformer detection, streamlining the workflow for handling multi-page invoices. • Annotated key invoice fields such as Credit Amount, Debit Amount, Invoice Number, etc., using advanced feature detection techniques to ensure accurate data extraction. • Extracted text from invoice tables using the LayoutLMv2 algorithm, converting unstructured invoice data into a structured CSV format for further analysis. • Utilized LLM (ChatGPT 3.5) to identify patterns in invoice data, performing data cleaning and formatting into a reconciled, structured format. Customer Analytics and Revenue Generation. • Conducted Exploratory Data Analysis and feature engineering on 86M records, uncovering insights that resulted in a 10% increase in loyalty customers. • Deployed and automated 50+ data pipelines using multi-cloud architecture and tools like Bazel and CI/CD, reducing manual effort by 10% and adding value to data processes. • Designed and launched Power BI dashboards from automated pipelines, increasing operational efficiency by 25% within six months and providing actionable recommendations. • Built a churn propensity model with Random Forest, enabling early retention strategies and resulting in a 7% reduction in churn. • Developed predictive models with 95% accuracy for customer segmentation, enabling personalized marketing and leading to a 15% increase in incremental sales.