Thompson Rivers University (TRU)
Thompson Rivers University (TRU)
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Ashley Qin
Learner
(1)
3
Portals

Skills

Data analysis 1 Data-driven decision making 1 Health technology 1 Statistical methods 1

Achievements

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Community Builder
Issued by Riipen
The Community Builder achievement is awarded to learners who provided feedback to project partners at the conclusion of their project, helping to create a better experiential learning ecosystem for all participants.
Completed on January 30, 2025
Work-Integrated Learner
Issued by Riipen
The Work-Integrated Learner achievement is awarded to learners who applied their skills to a real-world problem by completing a project for an external partner. These learners provided real benefit to businesses while developing experience.
Completed on January 30, 2025
Project Participant
Issued by Riipen
The Project Participant achievement is awarded to learners who start their first project, demonstrating their commitment to putting learned skills to practice.
Completed on January 2, 2025

Latest feedback

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John Leddo
He / Him
President
February 19, 2025
Team feedback
Learners were outstanding. They had some excellent insights into the data we gave them to analyze and they picked up on things that we ourselves missed.
Data-driven decision making Statistical methods Health technology Data analysis
The University of Virginia
UVA Digital Tech Projects - January 2025
The University of Virginia
MyEdMaster LLC,
Adherence Analysis for Longevity Software
MyEdMaster LLC,

Recent projects

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MyEdMaster LLC,
MyEdMaster LLC,
Leesburg, Virginia, United States

Adherence Analysis for Longevity Software

The project aims to analyze user data from MyEdMaster LLC's longevity software to understand how effectively users adhere to their self-created health plans. The primary goal is to identify patterns and factors that contribute to high adherence levels. By examining user engagement and plan completion rates, the project seeks to uncover insights that can enhance user experience and improve the software's effectiveness. The analysis will focus on identifying demographic, behavioral, and contextual factors that correlate with adherence. This project provides an opportunity for learners to apply data analysis techniques and statistical methods to real-world user data, enhancing their understanding of data-driven decision-making in health technology.

Matches 5
Category Data analysis + 3
Open