🚀 Data Science & ML Expert | AdTech Specialist | Distributed Systems Enthusiast With a strong background in data science and machine learning, I've built and scaled ML models for large-scale, real-world applications — particularly in the AdTech industry. I specialize in optimizing advertising campaigns, analyzing performance metrics, and leveraging advanced modeling techniques to drive impactful business decisions. My experience includes distributed training on massive datasets (10+ billion rows) using TensorFlow, PySpark, Ray, and Horovod. I've tackled challenges like stratified sampling, gradient checkpointing, and scalable data processing. I've also been on both sides of the interview table — conducting 100+ interviews for Data Scientist roles and participating in 200+ interviews myself. I can guide you through technical interviews, ML model optimization, and scaling distributed workflows. If you're seeking insights into data-driven advertising strategies, scaling ML systems, or technical interview preparation, let's connect!