At Microsoft, I turn customer feedback, support interactions, engineering telemetry, and business signals into product insights and governed metrics. In my current role, I improved case categorization accuracy from approximately 50–70% to 85–90% and reduced recurring manual reporting from 20+ hours to under 2 hours through automation, taxonomy refinement, and stakeholder validation.
Previously at Microsoft, I worked on product insights and supportability across identity, security, compliance, and cloud products, building utilities that saved stakeholders up to five hours per day. Earlier, I supported Azure platforms and developer communities, and at Lionbridge Technologies Private Limited I led architecture and development for Azure-based services supporting a telephonic interpretation platform.
