Sadhana Venkatesan

• Led and mentored a cross-functional team, guiding them in solution architecture, AI workflow design, and best coding practices to deliver scalable, production-ready
systems
• Built an end-to-end pipeline to ingest contract data from contracting repository and AWS S3 into the AI system, ensuring reliable and continuous data availability
• Implemented daily automated extraction workflows using Azure Functions, eliminating manual processing and improving data freshness
• Extracted and standardized critical contract parameters such as Payment Terms, enabling cashflow analysis and identifying cost optimization opportunities.
• Developed dashboards and insights layer on top of the extracted data to support strategic negotiation and supplier decision-making
• Designed and developed an Agentic AI solution using LangGraph and LangChain to automate rate card extraction, enabling users to evaluate vendor pricing and identify
optimal suppliers

Procurement Contract Analysis
• Executed procurement contract analysis with Python, employing Generative AI for creating responsive chatbot and LLM for insightful analysis
• Designed an intuitive Streamlit front end, enabling user-friendly interaction with the Python-based system
• Enhanced automated contract analysis, term extraction, and storage optimization capabilities by incorporating Azure Cognitive Services, resulting in a 30% increase in
contract analysis accuracy and automated term extraction

Data Pipeline & Reporting Automation
• Developed Python scripts to automate data cleaning and merging of multiple disparate datasets, reducing manual processing time by ~80%
• Implemented weekly automated data refresh workflows for dashboards, improving reporting accuracy and reducing manual effort
• Consolidated reimbursement data lacking standardized formatting, created a unified dataset, and developed dashboards to analyse cashflow and generate actionable
insights