At Sigma AI, I analyze large text datasets to validate model hypotheses and identify patterns using sentiment analysis and intent recognition. I structure annotation datasets across Labelbox, Scale AI, and Label Studio, and lead Hindi transcription and translation workflows with segment-level quality checks.
As a freelance Research Analyst at AMS India, I analyzed clinical and community health datasets for WHO and Johns Hopkins University research reports. My work on postpartum medicine and maternal health outcomes supported findings for global health stakeholders.
At Edu Eyrie India, I built Power BI dashboards to analyze campaign performance and ran market research that informed a two-year strategic roadmap. I also translated data findings into recommendations with marketing and sales teams.
I built an AI-driven financial sentiment dashboard that combined NLP-based sentiment analysis with stock data, and a maternal and public health outcomes dashboard using WHO Global Health Observatory data. My background also includes managing and analyzing portfolio performance data at FinEdge Advisory.
