Starting my career, learning core skills and building projects to launch into professional work.
A collection of learning projects and exercises that demonstrate emerging skills and problem solving as I prepare for professional roles.
Analyzed multi-source hospital resource datasets to forecast ICU utilization and identify high-strain periods, building predictive models (97% accuracy, 92% recall) and translating outputs into structured operational planning recommendations for cross-functional stakeholder review.
Validated and analyzed CMS Medicare utilization and clinical demographic data across 10K+ patient records to model telemedicine adoption, identifying key behavioral drivers and developing scenario-based recommendations to support digital health platform expansion strategy.
Starting my career, learning core skills and building projects to launch into professional work.
I am Prapti Dahal. I am at the start of my career and building skills and projects to begin professional work. I am learning and preparing to contribute in a focused role.
Experience
Graduate Assistant, School of Business
Clark University · Sep 2025 – May 2026
Associate, Research & Innovation Unit
Advanced College of Engineering & Management · Jun 2023 – Feb 2024
Data Manager Associate
Mirai Global Education & Visa Services · Dec 2022 – Jun 2023
Education
Clark University
M.S. Business Analytics (Marketing Analytics) · Class of 2026
Nepal Commerce Campus
B.B.A. Marketing · Class of 2023
Skills
Analyzed multi-source hospital resource datasets to forecast ICU utilization and identify high-strain periods, building predictive models (97% accuracy, 92% recall) and translating outputs into structured operational planning recommendations for cross-functional stakeholder review.
Validated and analyzed CMS Medicare utilization and clinical demographic data across 10K+ patient records to model telemedicine adoption, identifying key behavioral drivers and developing scenario-based recommendations to support digital health platform expansion strategy.
Built and validated end-to-end data pipelines processing 100K+ records, performing QA checks on feature consistency, conducting competitive feature analysis to surface the strongest engagement drivers, and preparing structured conclusions for cross-functional review with 82% model accuracy.