Avik Basu
Avik is a seasoned machine learning engineer and data scientist who is passionate about developing tech that enhances people's lives. With deep expertise in scientific Python and a proven track record of building impactful ML solutions, he focuses on creating systems that address real-world challenges and improve people's lives.
Session
Most ML models excel at prediction, answering questions like "Who will buy our product?" or "Which customers are likely to churn?". But when it comes to making actionable decisions, prediction alone can be misleading. Correlation does not imply causation, and business decisions require understanding causal relationships to drive the right outcomes.
In this talk, we will explore how causal machine learning, specifically uplift modeling, can bridge the gap between prediction and decision making. Using a real-world use case, we will showcase how uplift modeling helps identify who will respond positively to interventions while avoiding those who they might deter.