Raam Kumar

Jr Data Scientist @Amazon

As a Junior Data Scientist at Amazon working in Retail Analytics, where I transform large-scale retail data into actionable insights that drive smarter business decisions and enhance the customer experience. My work focuses on analysing customer behaviour, optimising pricing and inventory strategies, and improving product performance through data-led solutions.I create end-to-end data pipelines for reporting, analyse massive-scale datasets, and leverage my knowledge in machine learning, advanced analytics, and metric design to translate complex data into meaningful insights. Skilled in SQL, Python, Excel, and AWS tools such as Redshift, S3, and SageMaker, I use these to build predictive models, develop dashboards, and deliver high-impact analytics for key stakeholders including scientists, product managers, and engineers.I work with large and diverse datasets to identify trends, solve real-world retail challenges, and build business cases around key performance metrics. Using a customer-backwards approach, I derive insights and identify actions that help improve the customer journey and conversion across Amazon’s retail programmes.Passionate about data science and its role in shaping the future of retail, I’m continually developing my expertise in machine learning, cloud-based analytics, and statistical modelling to deliver measurable business value.