Ramya sree

I’m a results-driven Data Analyst focused on AI-driven data workflows, agent-based extraction, and building reliable datasets that clients can use immediately. I source, validate, and standardize business intelligence from multiple platforms while keeping quality and consistency front and center.

In my recent AI/LLM work, I supported model training through data annotation, content analysis, and quality validation. I analyzed large datasets to ensure accuracy and adherence to client guidelines, then performed data cleaning and categorization to reduce errors and strengthen dataset quality.

At Orbital, I built and executed AI-driven data workflows (“signals”) to identify and enrich business intelligence such as company attributes, software usage, and decision-maker details. I designed client-specific data templates, managed lead enrichment pipelines for GTM workflows, and integrated CRM syncs using HubSpot / Salesforce to deliver clean, structured data.

I also partner with Solutions Engineers and GTM teams to improve deliverables and data quality. Using Grafana dashboard monitoring, I track and analyze credit consumption and operational performance—then refine input logic to improve AI output reliability.