Loyalist College
Loyalist College
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Sera Han
Learner
(2)
2
Portals
Categories
Data visualization Data analysis Databases

Skills

Data warehousing 2 Decision tree learning 2 Rstudio 2

Achievements

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Project Participant Level 2
Issued by Riipen
The Project Participant Level 2 achievement is awarded to learners who are starting their second project, demonstrating their commitment to growing experience through work-integrated learning.
Completed on July 3, 2023
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 July 2, 2023

Latest feedback

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Mohamad El-Hajj
Employer
August 9, 2022
Team feedback
Great Job, you met and exceeded the expectations. I am now waiting to finalize our project on phase 2.
Rstudio Data warehousing Decision tree learning
MacEwan Level UP
Level UP MacEwan Faculty and Staff Projects
MacEwan Level UP
MacEwan University: Department of Computer Science
Level UP-Analyzing factors impacting COVID-19 vaccination rates Phase 1
MacEwan University: Department of Computer Science
Mohamad El-Hajj
Employer
September 10, 2022
Team feedback
Excellent job. Your team achieved this phase's goals.
Rstudio Data warehousing Decision tree learning
MacEwan Level UP
Level UP MacEwan Faculty and Staff Projects
MacEwan Level UP
MacEwan University: Department of Computer Science
Level UP-Analyzing factors impacting COVID-19 vaccination rates Phase 2
MacEwan University: Department of Computer Science

Recent projects

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MacEwan University: Department of Computer Science
MacEwan University: Department of Computer Science
Edmonton, Alberta, Canada

Level UP-Analyzing factors impacting COVID-19 vaccination rates Phase 2

positions available: 4 This analysis used COVID-19 vaccination data, and country indicators from the World Bank to 1. Determine indicators that are associated with vaccination rate 2. Create indices to measure the Vaccine Utilization and Vaccination Motivation per country 3. Apply Decision trees and Pearson correlations to determine relationships with country indicators and these indices

Matches 1
Category Databases + 3
Closed
MacEwan University: Department of Computer Science
MacEwan University: Department of Computer Science
Edmonton, Alberta, Canada

Level UP-Analyzing factors impacting COVID-19 vaccination rates Phase 1

positions available: 3 This analysis used COVID-19 vaccination data, and country indicators from the World Bank to 1. Determine indicators that are associated with vaccination rate 2. Create indices to measure the Vaccine Utilization and Vaccination Motivation per country 3. Apply Decision trees and Pearson correlations to determine relationships with country indicators and these indices

Matches 1
Category Databases + 3
Closed

Education

Bachelor of Science, Computer Science
MacEwan University
September 2018 - Current