At Vive House Banao Technologies Pvt. Ltd., I built Python and SQL data-preprocessing pipelines that reduced raw-data cleaning time by about 40% while maintaining analysis-ready datasets across concurrent projects.
I also designed interactive Power BI dashboards that turned messy source data into clear business narratives, and wrote SQL queries that reduced manual reporting effort across business units.
For my Sales Intelligence & Performance Analytics project, I cleaned and structured more than 500,000 rows of transactional data and built three Power BI dashboards. They surfaced a 12% seasonal performance gap to support inventory and staffing decisions.
I also trained a TensorFlow crop-disease classifier and built a web interface with an inference pipeline, then developed a real-time sign-language recognition system that interpreted ASL alphabet signs with 92% accuracy.
