At Ethara.AI, I contributed to post-training workflows for large language models, including data annotation, prompt evaluation, and output quality assessment. I also reviewed and labelled training data and documented evaluation results to support iterative improvements.
I designed an AI-powered attendance management system that combines face recognition, gender classification, and object detection. I built recognition models using OpenCV and Keras, integrated the Roboflow API for ID card and uniform verification, and automated CSV-based attendance storage.
For my COVID-19 data analysis project, I cleaned and processed case and vaccination data with Python, then built Tableau dashboards to compare infection rates, vaccine effectiveness, and recovery trends across Indian states. I presented patterns in vaccination timelines and their correlation with declining case counts through visual storytelling.
I also analyzed survey responses about study destinations using R and Tableau, and developed Skin Solution, a web app that recommends skincare products based on quiz responses. My toolkit includes Python, SQL, Tableau, Excel, and machine learning methods.
