Rehenuma Tasnim Rodoshi

I’m a PhD student in Computer Science with strong hands-on experience in data analysis, machine learning, and building data-driven pipelines. I enjoy extracting, transforming, validating, and analyzing large datasets to support analytics you can trust.

As a Graduate Teaching Assistant, I taught programming labs to 60+ students and built automated grading solutions and test scripts to improve consistency and reduce evaluation time. As a Graduate Research Assistant, I developed analytics pipelines for federated learning experiments across distributed IoT devices, including data extraction, preprocessing, transformation, validation, and decentralized training evaluation.

My research and projects span predictive modeling, classification, regression, clustering, anomaly detection, and error analysis, with production-minded attention to data quality checks and performance analysis in Microsoft Azure environments. I’ve also delivered an end-to-end drone detection framework that achieved ROC-AUC of 0.98, and I’m energized by opportunities to turn rigorous ML and engineering into measurable outcomes for real users.