Chaitanya Murali

About Chaitanya Murali

I help companies envision, design, and deploy AI solutions that move the needle from strategy to production. At Expedia Group, I lead AI initiatives that turn complex financial data into actionable insights in seconds.My work spans enterprise AI strategy, where I partner with leaders to identify high-impact use cases and build business cases for investment; multi-agent architectures, designing autonomous systems that coordinate LLMs, APIs, and microservices to automate sophisticated financial and investor-relations workflows; and Generative AI engineering, building retrieval-augmented generation pipelines, fine-tuning open-source language models, and crafting precise prompt strategies for speed and accuracy at scale. I also drive organizational change, ensuring AI solutions integrate seamlessly across finance, product, and technology teams and deliver measurable ROI.My passion is bridging research and real-world impact: translating cutting-edge generative AI into practical, enterprise-grade applications that reimagine how organizations analyze, forecast, and communicate.Let’s connect if you’re exploring how AI can reshape financial operations and executive decision-making or if you’re ready to launch your next ambitious AI initiative.

Experience

1. Manager, Data Science - Ai

   Expedia Group

   Aug 2024 — Present · Seattle, WA, US

   As a Product Leader driving the future of AI in Corporate Finance, I’m spearheading the integration of Generative AI, Large Language Models (LLMs), and AI Agents to transform how we analyze, forecast, and make strategic decisions at Expedia Group.Key Achievements & Responsibilities:• Pioneering Finance AI Strategy: Defining the vision, roadmap, and execution plan for AI-driven transformation across forecasting, analytics, and investor relations.• LLM & AI Agent Development: Architecting and evaluating intelligent agents that handle complex finance workflows with accuracy, transparency, and speed.• Predictive Forecasting & Machine Learning Models: Building advanced forecasting models that capture seasonality, macroeconomic factors, and business shifts to improve planning precision.• Automated Analyst & Market Insights: Delivering AI-powered systems that synthesize analyst sentiment, competitive benchmarks, and market pulse for senior leadership in real time.• Cross-Functional AI Enablement: Collaborating across Finance, Product, and Engineering teams to integrate AI capabilities seamlessly into core workflows.• Culture of Innovation: Driving rapid prototyping and continuous experimentation to push the limits of finance analytics and automation.Impact: Accelerating insight generation from weeks to minutes, enabling finance teams to shift from reactive reporting to proactive, strategic decision-making.

Education

• Northwestern University

  Master of Science - MS, Data Science (Specialization in Artificial Intelligence)

• Jawaharlal Nehru Technological University

  Bachelor of Technology (BTech), Mechanical Engineering

• Texas McCombs School of Business

  Post Graduate in Artificial Intelligence for Leaders, Machine Learning and Artificial Intelligence

Skills

• C
• Teradata
• Business Analysis
• Sas
• Machine Learning
• Sql
• Microsoft Excel
• Microsoft Azure
• Business Intelligence
• Management
• Sas E-Miner
• R Programming
• Statistical Data Analysis
• Data Modeling
• Healthcare Industry