Automation Analyst
- Developed a machine learning model to predict high-risk users, achieving a 40% reduction in buyer fraud cases through automated risk scoring (1–100 scale) based on historical platform activities.
- Built an AI Sales Trainer Agent using Gemini Native Audio and Gemini 2.5 Flash for voice-based simulation, enabling sales executives to practice customer interactions with realistic digital personas.
- Engineered an automated auditing tool for Buyer–Supplier conflict resolution, streamlining ticket processing and improving operational efficiency across support teams.
- Designed and developed an AI-Enabled Dashboard and Agent leveraging artificial intelligence to track concerns and optimize process management organization-wide.
- Created an automated reporting system using n8n workflow automation and MySQL, reducing manual reporting time by 70%.
- Architecting an autonomous AI Fraud Detection Agent that proactively flags sellers exhibiting fraudulent intent — powered by Gemini-based analysis, RAG, autonomous decision-making, and external data integrations; reduced manual review effort per case from approximately 40 minutes to just 7 minutes (~82% efficiency gain).
- Built a full autonomous HR Agent to streamline candidate shortlisting as part of an Internal Hackathon, reducing the manual effort of screening 4,000+ applications from 18 hours to just 16 minutes (~98% reduction).
- Implemented a seller risk segmentation system (Red / Amber / Green categories) and automated ticket escalation based on buyer rating analysis.