Ankita Patel
Independent Systems Builder Ai-driven Operations Optimization @Independent
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WORK HISTORY
Independent Systems Builder Ai-driven Operations Optimization @Independent
CA, US
Focus AreaDesigning operational decision systems for small businesses in healthcare and retail environments.Work Completed1. Inventory Optimization System • Built a decision layer that analyzes sales patterns • Identifies fast-moving vs dead stock items • Generates reorder recommendations based on velocity trends2. Demand Forecasting System • Designed simple forecasting logic using historical sales behavior • Detects demand spikes (weekly / seasonal patterns) • Provides stocking recommendations to reduce stockouts3. Workflow Design Approach • Structured raw operational data into decision-ready outputs • Created repeatable system logic for small business use casesMethodology • Data → structured analysis → AI reasoning layer → decision output • Focus on simplicity, speed, and business usabilityOutcome Focus • Reduced manual decision dependency • Improved visibility into inventory behavior • Enabled structured operational planning
EDUCATION
The University of Queensland
Graduate Certificate, Public Health
Maharaja Krishnakumarsinhji Bhavnagar University (MKBU)
BDS
ABOUT ANKITA PATEL
I build AI-driven operational decision systems that help small healthcare and retail businesses improve efficiency, inventory accuracy, and revenue outcomes.My work sits at the intersection of product thinking, systems design, and real-world operations.Across clinical and retail environments, I observed a consistent problem: critical business decisions, inventory planning, demand forecasting, workflow prioritization are often made with incomplete, delayed, or manual data interpretation.I focus on solving this by designing lightweight AI systems that convert raw operational data into structured, actionable decision outputs.Recent work includes building systems for inventory optimization, demand forecasting, and automated operational insights using spreadsheet-based pipelines and AI reasoning layers.I’m especially interested in how small, practical systems can replace manual decision-making loops in real-world businesses without adding complexity or overhead.
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