Ishika Gupta
Supply Chain Manager @ Amazon | MS in Business Analytics @ ASU | B.E. in IT @ CBIT
- Role
- Supply Chain Manager at Amazon
- Location
- Austin, TX, US
- LinkedIn followers
- 500 followers
About Ishika Gupta
Who I am: 1. Problem-Solver: I thrive on identifying complex challenges and…
Experience
Supply Chain Manager
Feb 2025 — Present · Austin, TX, US
In Amazon Logistics (AMZL), I’m focusing on improving package dimension forecasting and explainability to optimize resource and capacity planning for amazon delivery stations. Leveraging my skills in statistics, Python, SQL, Excel, visualization, and machine learning, I aim to enable data-driven decisions that enhance efficiency in last-mile operations: Data-Driven Strategic Capacity Planning:Led a pilot introducing a new warehouse capacity strategy by conducting hypothesis testing & inferential statistical analysis to translate data into actionable insights. Authored 3 documents presented to senior leadership (L7+), gaining approval of the strategy to be implemented during peak-season operations across hundreds of warehouses in North America. The capacity planning strategy contributed to successful execution of high-volume events. Furthermore, the data analysis uncovered forecasting risks, enabling long-term improvements in operational and capacity planning during regular operations.Operational Metrics Analysis & Optimization:Refined a critical operational metric by proposing a methodology tailored to site-specific characteristics. Collaborated with cross-functional teams to validate data sources & developed a SQL query that automated metric generation, reducing processing time by ~83%, enabling availability of precise operational metrics for timely decision-making.Business Process Automation:Automated consolidation of data from multiple sources with Python, reducing report generation time by ~90%. Created auto-refreshing Excel pivot tables and Python visualizations, enabling the team to focus on higher-value analytical work & accelerating daily decisions.Data Quality & Metric Reliability:Collaborated with BI Engineers to resolve inconsistencies in KPIs revising SQL query logic and integrating stronger business rules. Ensured metrics accurately reflected operational realities, restoring stakeholder trust and improving decision quality.
Education
CHIREC International School
All India Senior School Certificate Examination, Science - Math, Physics, Chemistry, Computer Science
Chaitanya Bharathi Institute Of Technology
Bachelor of Engineering - BE, Information Technology
W. P. Carey School of Business – Arizona State University
Master of Science - MS, Business Analytics
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