Isha Agarwal is an MS Data Science student in the Twin Cities with about two years of applied experience combining machine learning, data analytics, and full-stack development. She has built NLP sentiment models and predictive ML workflows in academic research, automated data pipelines and SQL ingestion for sports analytics, and produced actionable Tableau dashboards to inform STEM retention efforts. Earlier software engineering roles gave her end-to-end product delivery experience—from requirements and POCs to deployment and automation—bridging development and data science. Comfortable with Python, SQL, and model selection/tuning, she particularly enjoys turning messy public data into repeatable pipelines and market-clustering insights that inform decisions.
2 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (B.Tech.), Electronics and Communications Engineering, 78%, Bachelor of Technology (B.Tech.), Electronics and Communications Engineering, 78% at BIET Jhansi
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University of St. Thomas
Intel staging area for llvm.org contribution. Home for Intel LLVM-based projects.
Contributions:2 reviews, 6 PRs, 12 pushes in 11 days
inteloneapiacceleratorsstagingsycl
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