Deepak Saxena is a Vice President of Data Science at TWG Global Holdings, where he leads the design and delivery of large-scale data engineering, analytics, and AI platforms supporting investment decision-making across structured finance products including RMBS, CMBS, ABS, and CLOs.

With over a decade of experience in enterprise data systems, Deepak specializes in building cloud-native, high-performance analytics solutions using modern data platforms, distributed computing, and AI/ML techniques. His work focuses on explainable analytics, scalable data pipelines, and applying AI responsibly in financial and enterprise decision systems.

Deepak has hands-on experience across the full lifecycle of data products—from ingestion and modeling to advanced analytics, visualization, and production deployment. He actively works with technologies such as Python, Spark, SQL, cloud platforms, and modern AI/LLM frameworks to solve real-world business problems.

In addition to his industry role, Deepak is an active contributor to technical communities through conference submissions, research-oriented writing, and mentoring. His speaking interests include applied AI, data engineering at scale, explainable machine learning, and the intersection of AI and finance.

He is passionate about sharing practical insights that help organizations move from experimental AI to reliable, production-ready systems.