Elms College
Elms College
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Sylvia Ezealor
Learner
(1)
5
Resume
Sylvia Ezealor Resumé (5) .pdf
Portals

Skills

Data analysis 2 Usability 2 Usability testing 2 User experience (ux) 2 Equities 1 Forecasting 1 Investment banking 1 Investments 1 Machine learning 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.
May 23, 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.
May 23, 2025
Advance Ontario Project Completed
Issued by Advance Ontario: April 2025 Cohort
Awarded for successful completion of an Advance Ontario project.
May 13, 2025

Latest feedback

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Andi Kerenxhi
CEO
May 23, 2025
Individual endorsement
Data analysis Usability testing Usability User experience (ux)
Sylvia, is extremely hard working. She was responsible for editing over 70 layers (an Ubineer product) and also responsible for completing a document that is shared to our board and customers. Her attention to detail is incredible and we would recommend her to any employer seeking to hire an up and coming Information Technology student.
Learner feedback
Data analysis Usability testing Machine learning Equities Investment banking Investments Usability User experience (ux) Forecasting
We highly recommend Sylvia to any companies looking to hire a student that is hard working and dedicated.
Advance Ontario
Advance Ontario: April 2025 Cohort
Advance Ontario
Ubineer
Data Insights and User Experience Enhancement
Ubineer

Recent projects

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Ubineer
Ubineer
Toronto, Ontario, Canada

Data Insights and User Experience Enhancement

Ubineer is seeking to enhance its Predictions Product. One or Two lucky student will work with our CEO by conducting a comprehensive analysis of our Predictions product, specifically focusing on creating Layers and Clusters. The goal of this project is to analyze our Machine Learning Estimates and compare them to actual results. The goal is to create an accuracy gage. Learners will apply their classroom knowledge of data analysis techniques to evaluate accuracy. This project will involve basic analysis techniques and is suitable for anyone who is seeking a role in Investment Banking, Trading or Equity Analysis, or a business analyst. By the end of the project, learners will gain practical experience in data analysis and user testing, contributing to Ubineer's ongoing efforts to optimize its data-driven strategies.

Matches 1
Category Data analysis + 4
Open