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Marissa Gonçalves
Student - She
(1)
4
Location
Montreal, Quebec, Canada
Portals
Categories
Data visualization Data analysis Data modelling Databases Data science

Skills

Data mining 1 Predictive modeling 1 Psychological trauma 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 April 5, 2024
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 April 3, 2024
Project Contributor
Issued by Riipen
The Project Contributor achievement is awarded to learners who kept their projects on track and provided progress updates to the project partner by completing a milestone.
Completed on February 21, 2024

Latest feedback

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Mike Tikkanen
Mike Tikkanen
Executive Director
April 13, 2024
Team feedback
Thank you for your team's energy and effort in our KARA book and social media project. Your work will add impact to the picture KARA is presenting. This should drive a change in policy that makes life better for abused and neglected children.
Psychological trauma Predictive modeling Data mining
Concordia University
Big Data Analytics
Concordia University
Kids At Risk Action (KARA)
America's Children in 100 Charts
Kids At Risk Action (KARA)

Recent projects

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Kids At Risk Action (KARA)
Kids At Risk Action (KARA)
Minneapolis, Minnesota, United States

America's Children in 100 Charts

The project name is "Enhancing Impactful Content for KARA's Next Book". The main goal for the project is to use predictive modelling and data mining to make the next book by Kids At Risk Action (KARA) more impactful in creating awareness, initiating conversations, and involving the community in ending childhood trauma and generational child abuse. This will involve several different steps for the students, including: - Analyzing the existing content and data related to abused and neglected children. - Developing predictive models to identify patterns and trends in the data. - Mining the data for insights and correlations that can be used to create impactful content. - Collaborating with KARA's team to incorporate the predictive modelling and data mining results into the next book.

Matches 4
Category Artificial intelligence + 3
Closed