Shreya Patel

• Analyzed inventory levels, turnover, and supply chain metrics using SQL and Python, reducing carrying costs by 18% while maintaining 98% stock availability. • Developed inventory dashboards and reports using SQL, Excel, and BI tools to provide real-time visibility for 5+ departments. • Built demand forecasting models using Python and time-series analysis, improving inventory accuracy by 22% and reducing stockouts by 12%. • Automated data validation and ETL processes, reducing manual errors by 25% and processing time by 20%. • Collaborated with procurement, operations, and finance teams to align inventory strategy with business objectives.

•50,000+ customer and survey records utilizing SQL, Python, and Excel, identifying actionable trends and patterns that informed 20+ strategic business initiatives across marketing, finance, and operations departments. •Engineered 5 interactive Power BI and Tableau dashboards with dynamic visualizations and KPI tracking, reducing report turnaround time from 48 hours to 12 hours and enabling 30% faster data-driven decision-making for executive leadership. •Designed and built SQL-based ETL pipelines integrating data from 8+ diverse sources, improving pipeline reliability by 25%, reducing latency from 48 hours to 4 hours, and enabling real-time analytics for 50+ cross-functional stakeholders. • QA workflows and data validation processes using Python scripts, reducing data processing errors by 15%, improving client deliverable accuracy, and saving 10 hours per week in manual validation effort. • Led analytics team development and training initiatives, mentoring 10+ junior analysts through hands-on knowledge transfer and mentoring programs, resulting in 35% faster onboarding time and 3 team member promotions. •Managed critical technical escalations across cross-functional teams (engineering, product, business) with 98% on-time resolution rate for data integration and reporting issues. •Recognition: Awarded 2 Spot Performance Awards (June 2024, Feb 2023) for exceptional user experience improvements and data quality enhancements

• Created structured SQL queries and visual dashboards to interpret business data. • Assisted clients with data formatting, KPI analysis, and presentation insights. • Translated raw data into strategic reports using Python and SAP Lumira. • Developed CRM documentation to support workflow automation. • Supported projects requiring HTML, C++, Python, and SQL integrations.

• Conducted research on industry trends and competitor offerings, providing insights that helped shape marketing strategies and product development. • Acted as a liaison between clients and field teams to ensure smooth execution of retail projects. • Delivered technical assistance via email and phone on basic internet technology and client tools. • Conducted market and competitor research supporting client engagement and marketing. • Tested surveys to ensure clarity and accurate data collection. • Provided technical support for online platforms and data tools. • Delivered insights to improve user experience and campaign design.