Ashna Shah

Client - IT Services Partner to a Global Beverage Bottling Leader

• Lead a 50+ member cross-functional account delivering AI/ML and analytics solutions for a global retail CPG client; manage a $5M+ annual revenue portfolio.
• Drive strategy, delivery excellence, and client success across multiple high-stakes engagements.
• Collaborate with BAs, ML Engineers, DEs, and Software Developers to implement end-to-end solutions from problem definition to deployment.
• Champion integration of Generative AI and LLMs to enhance solution design, efficiency, and client value.
• Strengthen stakeholder relationships and ensure alignment through strategic planning, reviews, and proactive issue resolution.

Client - IT Services Partner to a Global Beverage Bottling Leader

• Managed delivery for critical supply chain analytics and computer vision solutions in a high-visibility partnership with top North American bottling companies
• Led teams of 15–20 members across projects such as Demand Forecasting, Fleet and Inventory Tracking, and AI-based Picking Solutions, with minimal attrition.
• Acted as Scrum Master, maintaining agile discipline, DevOps boards, sprint cycles, and roadmap clarity.
• Oversaw the technical design and deployment of computer vision models, UI/UX interfaces, and platform integrations.
• Delivered accurate project estimations, ensured SOW/DR compliance, and prevented revenue leakage.
• Created client-facing assets, including demo videos, and contributed to successful new business proposals.

Client: Fortune Top 5 Global Retailer

• Led a $1.5M revenue-generating analytics subgroup with 12 analysts, hired and trained from scratch.
• Served as Scrum Master and Solution Architect, driving project planning, agile delivery, and stakeholder management.
• Ran weekly client reviews, strategic planning sessions, and ensured delivery across multiple parallel workstreams.

Innovation & Development Team Lead

• Developed Python-based reusable Jupyter notebooks for EDA and regression on large-scale datasets.
• Led QA automation team building Selenium-based test cases for platform testing and release validation.

Client: Fortune 50 US Pharmaceutical Retailer

• Managed a $1.2M engagement with 10 analysts for specialty sales and supply chain analytics.
• Built a dynamic call plan tool, optimized prescriber targeting, and modeled incentives using SQL and SAS.
• Translated insights from A/B testing and sales performance into targeted outreach strategies.

Client: Fortune 50 B2B Tech Retailer

• Led 9-member team delivering a $1M engagement on marketing analytics.
• Built a Tableau dashboard powered by SQL pipelines and R-based scoring models to drive campaign effectiveness.
• Executed A/B tests and audience segmentation across 100+ campaigns, reducing time-to-market by 3–4 weeks.

Client - Leading U.S. Home Improvement Retailer

• Collaborated with the client to optimize product assortments across approximately 2,000 stores nationwide.
• Designed a Tableau decision board utilizing analysis in R to evaluate Product Line Reviews.
• Delivered actionable store-SKU recommendations based on key performance metrics, reducing costs, and streamlining assortment optimization efforts.

Client - Leading Australian Retail Firm

• Automated web scraping pipelines in Python to support pricing and promotional analytics.
• Streamlined store reporting using VBA, and built R Shiny dashboards for national audit visualizations.