Session: Behind Every Click: Unlocking Growth Through Experimentation and Strategic AI
In today’s fast-moving digital world, growth depends on how well we understand and act on user behavior. This session will help data scientists uncover hidden opportunities in websites and products, turning them into measurable business outcomes. You’ll learn why experimentation is essential for building products and strategies that succeed in the real world. I’ll provide an overview of the entire experimentation lifecycle—diving into statistical approaches, nuances of experiment reads, alternative causal inference techniques, methods for measuring both short-term and long-term impact and offer clear recommendations. We’ll also explore why innovation is a process, not a destination—and how an iterative mindset compounds results by building each experiment on the gains of the last.
As a final focus, we’ll learn about Strategic AI—covering core fundamentals and proven methods for measuring success, ROI and metrics that matter most for sustainable growth. I’ll also share key lessons from my own journey in data science—insights to help others avoid pitfalls and accelerate their impact
Bio
Nikhila Mohan is a cross-functional visionary Data Science Leader at Intuit with over 12 years of experience in the technology space. She has driven over $xxxM in revenue and accelerated business growth through data-driven leadership and strong influence on C-suite executives in shaping strategic initiatives. Nikhila has led +250 high-impact experiments and product launches across apps, digital products, and marketing website optimization efforts through A/B testing, personalization and machine learning. She is deeply passionate about using data to unlock business growth, strategic AI, fostering innovation and mentoring the next generation of data science professionals. She holds a Bachelor’s in Engineering, a Master’s with Data Science specialization and is currently completing a year-long leadership program at the Stanford Graduate School of Business.