My work exists at the intersection of quantitative modeling and human experience. I use first principles from computer science and economics to measure, predict, and shape how people interact with products and ideas.
Courses & Seminars designed to upgrade your analytical toolkit.
Thesis: A practical introduction to Python, Git, and SQL for empirical research. Go from wrestling with messy data to building clean, automated, and perfectly reproducible analysis pipelines for your work in economics, marketing, or social sciences.
For: PhD students, research assistants, and analysts ready to move beyond Excel/Stata for modern, rigorous data work.
Join the WaitlistThesis: Bridge the gap between academic theory and real-world business strategy. Learn to apply behavioral models and causal inference to make better, data-informed decisions about product design, user experience, and growth.
For: Product managers, business analysts, and founders who want to apply a rigorous analytical framework to their work.
Notify Me When It LaunchesAdvisory and consulting to build more robust systems.
A focused engagement to review your current architecture or data strategy. We identify points of failure, simplify complexity, and create a clear roadmap for building a more resilient and scalable system.
I help teams build the systems required to measure what matters. We move beyond vanity metrics to design and implement robust frameworks for understanding user behavior and making defensible, quantitative decisions.
I keep my client list small to ensure focus. If you believe we'd be a good fit, send a brief email to sharmaaditya1997[at]gmail[dot]com with the following:
I read every email, but I only respond to inquiries that demonstrate a clear alignment of principles.