Ash User

At PDConsulting, I led a team of four in developing an automated web-scraping pipeline that reduced manual dataset generation time from 5–6 hours to 1–2 hours. I also processed and structured more than 50,000 records and developed Excel and Power BI dashboards for MSME outreach.

With a team of four, I helped develop SentiFlow, a college feedback analysis platform that automated sentiment analysis and interactive dashboards, reducing the time needed to derive insights from student feedback by 80%. The project used Hugging Face Transformers and Azure storage services.

I developed ReviewScope AI, a platform that analyzes Google Play reviews and generates sentiment, complaint, and application-stability insights; it reduced the time needed to derive actionable insights by 70%.

I also co-authored a paper on a quantum-classical architecture for Bitcoin price forecasting, and my Python prototype for automated parking spot identification placed second in the Amrita Bit 1.0 hackathon.