Anandu P S

I am a Data Science postgraduate with a background in Economics and Statistics, dedicated to bridging the gap between data-driven insights and business strategy. I specialize in translating ambiguous business challenges into actionable solutions, with a focus on risk mitigation, operational efficiency, and ethical AI implementation. My experience spans across financial risk modeling, inventory optimization, and fairness auditing, where I prioritize communicating complex findings into clear, strategic recommendations for stakeholders. I am passionate about leveraging analytical frameworks to drive value and optimize decision-making processes in a business-centric environment.

Strategic-minded Data Science professional with a strong foundation in Economics and Statistics, specialized in translating complex data sets into actionable business insights. Adept at identifying process efficiencies, conducting financial risk assessments, and communicating data-driven recommendations to both technical teams and non-technical stakeholders. Proven ability to design solution strategies for inventory optimization and AI fairness, focusing on long-term business value and operational excellence over backend development.

I am currently pursuing an M.Sc. in Data Science at Christ (Deemed to be University), where I am deepening my expertise in Statistical Modeling, Machine Learning, and Data Engineering. This builds upon my undergraduate degree in EMS (Mathematics, Statistics, and Economics) from Kristu Jayanti College, where I maintained a CGPA of 7.37/10. This multidisciplinary education provides me with a rare blend of economic intuition and technical proficiency, allowing me to approach complex business problems with a highly structured, analytical, and data-driven perspective.