In the modern business landscape, the true competitive advantage lies not just in having data, but in the ability to translate technical analytics into actionable business intuition. My career has been dedicated to mastering this intersection. As a Carnegie Mellon University graduate, I operate at the nexus of Data Science, Product Management, and Strategy.
My professional journey is defined by a diversity of roles across the global market. As an AI Product Manager at WeCrunch and a Management Consultant at Kearney, I have led cross-functional teams to build scalable, data-driven products. From formulating deposit growth strategies for Saudi Arabia’s largest bank to optimizing ad experiences for Gen Z at YouTube, I have seen firsthand how Fortune 500 companies leverage data to capture markets. My consulting background also includes serving analytics leaders at Pepsi and P&G in the Middle East, where I helped translate complex datasets into clear, strategic decisions.
Beyond the corporate sphere, I am deeply invested in the academic and professional development of the community. I have collaborated with Dr. David Steier (former Managing Director of Data Science at Deloitte USA) to design Generative AI curriculums and have traveled to universities like Riphah and Lahore Garrison University to conduct hands-on workshops for faculty and students on AI and Data Science.
Returning to LUMS to teach DISC 326: Data Science for Decision Making, I bring this practitioner’s playbook to the classroom. My goal is to demystify tools like Python and Large Language Models (LLMs), demonstrating that whether you are analyzing customer churn or designing a new product, the most powerful solutions are built on a foundation of rigorous data science.