Manoj Joseph is a Senior Data Scientist and AI/ML leader with over two decades of experience building end-to-end machine learning solutions and scalable data infrastructure that drive measurable business outcomes. He has led large-scale data integrations, reverse ETL workflows, and MLOps pipelines to embed predictive analytics into enterprise systems, improving retention, reducing risk, and optimizing cash flow. At ZoomInfo he delivered conversational intelligence and RAG-based applications using LangChain and Anthropic Claude, and built credit risk, propensity, uplift, and real-time models that materially improved revenue and collections. Currently at Auradigm he’s developed an AI-powered enterprise analytics discovery platform that automates metadata tagging and report discoverability across BI tools. Known for combining deep technical chops (Snowflake, Databricks, MLflow, Python) with cross-functional leadership, he translates complex data into actionable GTM and finance decisions. His background spans ERP and CRM migrations to advanced ML—an unusual blend that helps him align AI initiatives with operational and regulatory realities.
12 years of coding experience
12 years of employment as a software developer
B Tech, Mechanical Engineering, B Tech, Mechanical Engineering at Mahatma Gandhi University
Master of Business Administration, Business, Master of Business Administration, Business at Shivaji University
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