At FabHost Complete Web Solutions, I collected and cleaned datasets using Python and SQL, then analyzed trends and anomalies. I also built and validated predictive models that reached a 92% precision-recall score.
For the Client Hosting SLA & Renewal Analytics Dashboard, I contributed to a pipeline and Power BI dashboard tracking SLA compliance and renewal trends across client hosting accounts. It cut manual reporting from about four hours a week to under 30 minutes.
On SprintFlow AI, I analyzed past sprint tickets and built an n8n workflow using email triggers, language model APIs, and a retrieval-based pipeline. It reduced weekly triage time from about five hours to under 1.5 hours.
I use SQL, Python, and BI tools for data analysis and reporting, and have working experience with AI-powered analytics and automation. My certifications include AWS Certified Cloud Practitioner, Fundamentals of DevOps, and AI Fluency: Framework & Foundations.
