As a data scientist at Nestlé, I optimize supply chain operations by addressing complex, high-impact challenges. My work involves developing advanced algorithms in machine learning, optimization theory, and time series forecasting, alongside creating simulation environments that mirror real-world supply chain dynamics. I implement best practices in MLOps to ensure scalable and production-ready systems using Databricks and Azure Machine Learning.Previously, at Rue Gilt Groupe, I gained experience in developing recommendation systems on a large scale using Reinforcement Learning as well as designed statistical experiments(A/B tests) for consumer analytics in an e-commerce setup.I hold a Master’s in Mathematics (Operations Research) from Northeastern University and Bachelor of Engineering in Computer Science from University at Mumbai.My technical expertise includes Python, SQL, R, Spark, Scala, and various machine learning and deep learning frameworks, with a strong focus on Azure cloud architecture. I also share my insights on data science topics and industry trends through my Medium blog.