Supply Chain Analytics & Applications Leader

SHRUTHI ASHOK

Portland 720-***-**** ***************@*****.*** https://www.linkedin.com/in/shruthi-ashok-46530119a/

Summary

Supply Chain Analytics and Application Manager with 8+ years delivering complex supply chain solutions, combining SQL expertise and SAP BTP, Appian integration. Combines expertise in database design, data modeling and automation with strong analytical and communication skills to bridge business processes and technology. Led development of a supply chain recommendation engine, driving a 20% cost reduction and wide adoption. Skilled in root cause analysis, configuration, and driving system support to optimize operations

Skills

•Skills: Supply Chain Optimization, Supplier Negotiation, Lean Methodologies for Continuous Improvement.

•AI/ML & Recommendation Systems: Machine Learning, Chatbot Development, AI-powered Automation, Recommendation Systems, Predictive Modeling, Data Science Experience

•Analytics & Reporting: Power BI, Tableau, SQL, Reporting Automation, Data Visualization, Analytical Skills

•Business Analysis & Product Management: Stakeholder Management, Product Lifecycle Management, Go-to-Market Strategy, Feature Prioritization, A/B Testing, Agile Development, Cross-Functional Team Leadership, Budget Management, Service, Quality Knowledge

•Database & Cloud Technologies: Databricks, Snowflake, Athena, SAP BTP

•Programming & Automation: Python, Appian, API Integration, Workflow Automation, Process Automation, RPA (Robotic Process Automation)

Work History

Qorvo

Supply Chain Analytics and Application Manager Aug 2020 – Present

•Implemented Logistics and Transportation On-Time Delivery Report by improving performance from 80% to 92% for Global Operations.

•Developed a transportation management dashboard that reduced shipment delays by 12% using real-time data tracking

•Omni label warehouse for Hong Kong: automated label reading using OCR and reducing errors by 70%.

•Prototype material request for NPI Planning accommodates multiple Proto material request types, manage workflow, read data from SAP and execute SAP movements. Improved productivity across NPI planning, PM Community, Warehouse staff by 35%.

•Internal fab factory planning & OTD, Subcon USP Transaction Report automated for planning team with 98% data accuracy

•Vendor bank change tool built for procurement and compliance team. Automates the whole process when a vendor needs to update their banking details. Cutting down on emails by 80% report ready for auditing purposes, manual errors reduced by 75%.

•Inventory adjustment tool- After posting an inventory adjustment, inventory discrepancies must be submitted for management approvals in BPM tool. Once approvals are completed, the document is stored indefinitely in Appian cloud. Appian provides a ‘Workbench’ database for management to analyze trends and gather metrics for inventory discrepancies. This tool helped businesses by reducing manual hours by 12 hrs/wk and improved productivity by 28%.

•RPA Good Receipt product for Supply Chain that reduced manual errors by 45%, enhanced productivity, and achieved 30% cost savings by integrating with SAP, PDE, and external APIs, reducing manual work by 60%.

•Global supply chain tariff report for leaders built to take strategic decisions with the top 5 metrics suppliers contributing to traffic, impacted materials from top 5 suppliers comparing to previous week, upcoming capital, FTZ updates and clearance performance and delays by brokers.

•Modernized precious metal tracking via predictive analytics applications using Appian that minimized waste streams and amplified turnover by 22%; delivered the firm's 'lowest waste production quarter'.

•Revolutionized business performance monitoring by implementing interactive Power BI dashboards, delivering a notable 25% enhancement in precision, and optimizing decision-making for 17 BPOs.

•Spearheaded the design of Qpilot, a recommendation engine built with predictive modeling and data science techniques, which led to a 20% reduction in supply chain costs and an 80% adoption rate across all regional teams.

•Designed and implemented an AI chatbot for customer service, improving response time by 15% and customer satisfaction by 10%, while decreasing workload by 20%.

•Lead cross functional teams in optimizing supply chain processes and reduced cost in SAP customization by $1M.

•Transformed supply chain insights with integrated Atlassian, Appian and SAP BTP tools in cloud environments, improving data driven decisions and reducing order fulfillment time by 15% across the board.

•Achieved significant cost savings through contract optimization and application development, including $260K in license savings and $1M in SAP customization reduction.

Nike Inc (Contract)

Manager Beaverton, OR · Feb 2020 - Aug 2020

•Achieved 92% order accuracy rate through the development and deployment of a real-time order tracking and fulfillment application

•Analyzed historical sales data and trends to improve demand forecast accuracy and reduce excess inventory by 12%

•Developed supply chain analytics dashboard, providing real time visibility on inventory numbers, how long shipping takes, how well our warehouses are doing, and trying to guess what customers will want next. Improved decision making for leaders by 32%

•Rolled out customer feedback loops and a Voice of Consumer product, achieving a 20% increase in customer satisfaction attributed to data-driven improvements and intuitive interface refinements.

•Developed automated workflows that saved 30% of time and steered personalized product recommendations, yielding a 10% expansion in customer lifetime value (CLTV).

Data Analytics Manager Beaverton, Oregon · Oct 2018 - Feb 2020

•Led cross-functional teams of 15 members to build inventory management products and dashboards, optimizing product placement and promotions, resulting in a 15% reduction in excess stock levels.

•Demonstrated the construction of advanced forecasting systems and predictive analytics tools leveraging machine learning, directly contributing to a 30% surge in marketing-qualified leads and a 25% elevation in overall conversion rates.

•Reduced report generation by 8 hours weekly by automating key BI processes, improving data accessibility, and increasing marketing team productivity by 20% while accelerating data-driven decision-making.

•Automate and streamline various data processes and implement alerts improving data quality

Smith & Nephew

Business Intelligence Analyst Austin, Texas · Jun 2018 - Oct 2018

•Identified key trends using SQL and Excel, informing data warehouse development and enabling optimized inventory management, leading to 17% increased profitability processes and saving 16 hours per week.

•Orchestrated predictive model for inventory management, reducing excess stock by 15% and decreasing stockouts by 20%, yielding $500,000 annual cost savings.

LaCrosse Footwear Inc

IT Business Analyst Portland, Oregon · Jun 2016 - Jun 2018

•Programmed automated SQL jobs to update Power BI dashboards, slashing report build times by 40%, thereby giving advanced analytics teams 10 more hours weekly to focus on complex analysis.

•Led development initiatives, crafting a product roadmap focused on customer engagement and digital channel optimization, which enhanced revenue by 45%.

•Optimized application development through strategic initiatives, achieving a code reduction equivalent to $200K.

Education

California State University, Fresno

Master of Science, Industrial Technology

VTU, India

Bachelor of Engineering, Information Science

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