Associate Manager, Data Science
CurrentLeading large-scale demand forecasting and optimization projects for a major grocery and retail chain, utilizing advanced machine learning models to address complex business challenges.Scaling time series models with Python, Spark, SQL, and Databricks applying techniques such as Linear & Logistic Regression, Decision Trees, Random Forests, PCA, Gradient Boosted Trees, Transformers, and Optimization.Orchestrating large-scale models using Databricks, building and maintaining robust ML pipelines, overseeing seamless deployment, monitoring, and optimization of models in live environments. Integrating CI/CD processes into ML workflows, ensuring continuous delivery and scaling of machine learning models.Collaborating with cross-functional teams to ensure machine learning solutions align with business objectives and deliver measurable impact. Driving innovation by leveraging advanced machine learning techniques to improve forecast accuracy, operational efficiency, and profitability.Overseeing the full lifecycle of data science solutions, from development to production, ensuring high performance and alignment with business goals. Leading initiatives that combine technical expertise and strategic insights to accelerate business growth and improve decision-making processes.