7+ years of experience in data science, managing end-to-end machine learning life cycles.
Strategic Consultancy Experience with Global Leaders. Proven track record of delivering high-impact results for Fortune 500 and Elite Global firms, including Regeneron (USA), British American Tobacco (FTSE 100), and McKinsey & Company (MBB).
Successfully executed targeted, high-stakes strategic engagements demonstrating the ability to rapidly analyze requirements, deduce solutions, and deliver results within tight project timelines.
Adept at partnering directly with key stakeholders to translate complex business needs into actionable data strategies, utilizing rigorous research and literature review methodologies to design the most optimal solutions.
Extensive hands-on expertise in MLOps and the full model deployment life cycle, building scalable and secure machine learning architectures across both AWS and Azure cloud platforms.
Consistently ensure workflow automation, model reproducibility, and robust asset tracking by leveraging CI/CD pipelines, Docker, MLflow, Weights & Biases, AWS SageMaker, and Git.