Saurav Pathak
AI Strategy | Prescriptive Intelligence | Digital Transformation
- Role
- Independence Blue Cross
- Location
- Philadelphia, PA, US
- LinkedIn followers
- 500 followers
About Saurav Pathak
I began my Data Science & AI career in the world of deep neural networks and physics simulations, earning my PhD with a focus on optimal learning algorithms. Today, I apply that same scientific rigor and hybrid innovative approach to solving complex enterprise business problems.For almost two decades, I have operated at the intersection of AI strategy and business execution. I have advised global clients at KPMG and TCS, and implemented internal transformation at Independence Blue Cross and MSC Industrial. This insider/outsider perspective allows me to zero-in on complex stakeholder requirements, navigate change management and create innovative pathways forwards.I design and create solutions with Agentic Gen AI, Machine Learning (ML), optimization, and simulation components that become autonomous and scale but with human oversight and control. The goal is strategic - solutions require an ecosystem to sustain themselves, and they should adapt and proliferate for an enhanced return on investment (ROI). And this is why AI governance, Center of Excellence frameworks, Digital Transformation best practices, and team building are so central to my work.• : Communication | Data Science Project Management | Center of Excellence Design | Thought Leadership | Supervision | Talent Development• : Data Munging (structured and unstructured)| Feature Selection & Engineering | Big Data Analytics• : Data & Decision Science | Artificial Intelligence (AI) & Machine Learning (ML)| Solution Architecture | Process Automation | Data-driven Business Solutions• : R | Python | SQL | Julia | PL/pgSQL | Java | Git | AnyLogic• : Docker | Google Cloud | Jupyter | Hadoop | Spark | In-Database Analytics• : CRISP-DM | Agile | Kanban | MLOps | Design Thinking | Data Science Storytelling• : Recommender Systems | Machine Learning & Model Interpretations | Neural Networks (Deep Learning)| Monte Carlo Simulations | Optimization
Experience
Present
Education
University of Pennsylvania
Doctor of Philosophy - PhD, Physics
1997 — 2005
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