About

Shruti Gupta is a highly skilled and experienced Product Manager at Amazon with over 8 years of experience in Product, IT, and Analytics. She holds a double master's degree in MBA and MS in Business Analytics and Information Management from Purdue University, which is a STEM program. Shruti has a proven track record of empowering Fortune 500 firms in consulting, data analytics, data visualization, leading teams, and managing client communications to deliver large-scale solutions and integration projects. As a thought leader and result-oriented analytics professional, Shruti has experience in delivering business solutions and digital transformations across the US, Europe, and LATAM. She has an excellent understanding of business and technical aspects, analytical tools to build models and dashboards, and translate business information into actionable insights for informed decision-making. Shruti's technical skills and expertise include Python, R, SAS, SQL, PL/SQL, Hive, C, Java (Basic), C#, Tableau, SAP SD/MM, statistical analysis and machine learning, data visualization, A/B testing, propensity scoring, business case development, consulting, requirement gathering, program management, agile methodologies, software engineering, SDLC, and business strategy. Aside from her professional accomplishments, Shruti is also a music lover and travel enthusiast. She has a Github account where she showcases her projects and skills. Shruti's current role at Amazon involves leading the store operations in-store technical products for Sales and Service Space (FOH), and Merchandising from kick-off to end. The products directly impact AFS CX and AX and drive key metrics surrounding visual fullness, POS/JWO transactions, cash management, resets, etc. Prior to her current role, Shruti was a Business Intelligence Engineer at Amazon, where she led analytics initiatives to discover gaps in the existing buying/supply chain processes with the aim to scale and correct existing defects that lead to overbuying, and supply chain inefficiencies overstock/out of stock. She built various Python/Tableau/SQL/ETL based tools. Shruti also worked as a Student Analytics Consultant at Vera Bradley, where she performed exploratory data analysis in Tableau and developed machine learning models to predict the performance of new products using historical multi-channel sales data and the initial three weeks of sales. She presented actionable insights to C-level executives to prevent cannibalization of new launches and increase sales by 7%. She applied K-Means Clustering and ML models like Linear Regression, Random