Saksham Aggarwal
Product Manager @Product Space Uiuc
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WORK HISTORY
Product Manager @Product Space Uiuc
Champaign, IL, US
Selected as fellow of ~6% acceptance rate program after multi round interview process, focused on product management skill development and client-based projects.Completed 8+ weeks of intensive training on product management fundamentals, including user segmentation, market sizing, product metrics, prioritization frameworks, and roadmap planning.Built connections with industry professionals from top tech firms (FAANG+) and alumni network spanning 13+ university chapters nationwide.
EDUCATION
X-culture program
Summer Program
University of Illinois Urbana-Champaign
Bachelor of Science - BS, Computer Science and Statistics
Inspirit AI 2022
Summer program
Plaksha University
Young Technology Scholars , Computer Science
NYAS (New York Academy of Sciences)
The Junior Academy Summer program, research methods, design thinking, and data analysis
Stanford Pre-collegiate Summer School
Introduction to Data Science Program , Data Science
The Shri Ram School
High School Diploma, International Baccalaureate (IB) & IGCSE
ABOUT SAKSHAM AGGARWAL
I’m a UIUC student studying Computer Science & Statistics (GPA 4.0) who likes building at the intersection of product, data, and ML: shipping features, measuring outcomes, and iterating fast.Recently, I’ve worked across:• Product + ML at Beacons (YC S19): PRDs, user interviews, KPI frameworks, and shipping an AI-assisted deal recommendation workflow (200+ matches/week; improved match acceptance and reduced time-to-first-match).• Data/Analytics Engineering at Barclays: Python + SQL (CTEs/window functions) cost-to-serve allocation engine at 20M+ customer scale; productionized monthly batch pipelines on Linchecks.• Machine Learning at JSW: end-to-end rainfall forecasting with walk-forward validation; improved RMSE vs a seasonal-naive baseline.I’m currently seeking Summer 2026 internships/co-ops in Software Engineering, Data Science, ML, or Product. If you’re hiring, I’d love to chat, especially about roles involving Python/SQL, data pipelines, ML evaluation, or recommender/ranking systems.
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