Hashmeet Behal

• Led Weekly Business Reviews (WBRs) with Amazon leadership, presenting inventory snapshots, error classification, and load reconciliation reports translating data findings into actionable process improvement plans • Resolved inventory data anomalies through Amazon reconciliation calls and root cause yield analysis; built a macro-enabled Excel tool to auto-classify IFS inventory errors, streamlining error resolution across repair lines • Automated inventory aging, TAT, and SLA data aggregation using SQL and Power Query; enforced data quality checks to ensure report accuracy across repair and refurbishment operations • Managed program P&L tracking across client accounts forecasting monthly revenue goals, reconciling financial data, and ensuring billing accuracy with on-time invoicing across all Finance review cycles

• Analyzing complex datasets using Excel, SQL, and Python to uncover trends and deliver actionable insights that drive efficiency and streamline reporting workflows. • Collaborating with cross-functional stakeholders to gather business requirements and design tailored, data-driven solutions that align with organizational objectives. • Automating repetitive tasks and optimizing workflows with SQL and advanced Excel techniques to enhance productivity and streamline operations. • Developing and managing dynamic Power BI dashboards to provide real-time data visualization and KPI tracking, supporting faster and more informed decision-making processes.

• Led AppSheet data integration project end-to-end gathered requirements, developed WBS, managed JIRA backlog, and coordinated Scrum delivery to improve data accessibility across program teams. • Delivered Power BI reports by consolidating disparate data sources, providing actionable insights that directly shaped program planning and stakeholder decisions. • Streamlined operational workflows by implementing Agile methodologies standardizing sprint cycles, reducing manual handoffs, and improving cross-team delivery consistency.

• Analyzed customer data from enterprise telecom systems (Ericsson EDA), delivering insights that supported timely Java-based solutions across multiple deployment environments • Collaborated with cross-functional teams to process and validate XML and JSON datasets, integrating RESTful APIs and SOAP services (XSD, WSDL) for telecom services serving millions of customers • Led API testing using Postman, performing end-to-end validation and root cause analysis to resolve defects and improve data quality • Monitored CI/CD release pipelines via Azure DevOps, communicating deployment insights to key stakeholders throughout the SDLC

• Conducted root cause analysis and managed CI/CD release pipelines using Azure DevOps, resolving production bugs and reducing recurrence. • Executed A/B testing and UAT for multiple Jio applications, delivering actionable feedback that improved user engagement and product functionality. • Redesigned UI/UX flows and streamlined customer onboarding for Jio Point of Sale, resulting in measurable efficiency gains. • Facilitated cross-functional communication between business and engineering teams, ensuring alignment on project goals and delivery timelines

• Implemented a script to streamline data analysis using '3D Pose Identification using RANSAC Algorithm.' • Identified the outliers using a data fitting model which resulted in 20% improvement in accuracy. • Enhanced picking efficiency by 15% by utilizing sensor data that identifies cylindrical objects.