Elms College
Elms College
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Sharon Agun
Sharon Agun
Learner
(1)
31
Location
Toronto, Ontario, Canada
Bio

I’ve always loved math and the way it helps make sense of the world. I enjoy working with numbers, spotting patterns, and solving problems, especially when there’s a real impact. I’m always looking for opportunities to apply my skills in meaningful ways, whether through data analysis, problem solving, or optimizing processes. I love collaborating with others, learning from different perspectives, and taking on challenges that push me to think in new ways.

Resume
Sharon Agun - Resume.pdf
Portals
Categories
Data visualization Data analysis Data modelling Information technology Databases

Skills

Business intelligence reporting 1 Database application 1 Distributed team management 1 Marketing 1 Project management 1 Research 1 Segmentation analysis 1 Stakeholder engagement 1

Socials

Achievements

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Level UP exit survey completion- February 2025 cohort
Issued by Level UP: February 2025
Awarded for sharing your feedback β€” your insights help us improve Level UP, and this badge recognizes your valuable contribution.
Completed on March 26, 2025
Level UP community builder - February 2025 cohort
Issued by Level UP: February 2025
Awarded for providing feedback at the end of a Level UP project.
Completed on March 26, 2025
Level UP Community Builder
Issued by Level UP: February 2025
Awarded for providing feedback at the end of a Level UP project.
Completed on March 26, 2025

Latest feedback

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Tapfuma Musewe
Tapfuma Musewe
Founder
April 9, 2025
Learner feedback
Sharon was an excellent addition to the ecosystem mapping team. She approached all of her tasks with great enthusiasm and professionalism. I would recommend her for any subsequent related project.
Segmentation analysis Research Stakeholder engagement Database application Distributed team management Project management Marketing Business intelligence reporting
Riipen Level UP πŸš€
Level UP: February 2025
Riipen Level UP πŸš€
Afrifursa
Mapping the Canada-Africa Innovation Nexus
Afrifursa

Recent projects

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Afrifursa
Afrifursa
Stouffville, Ontario, Canada

Mapping the Canada-Africa Innovation Nexus

The project aims to develop a comprehensive ecosystem map of the Canadian innovation landscape, specifically highlighting companies and organizations with active Africa-facing strategies. This initiative is crucial for Afrifursa to understand and leverage the existing connections between Canada and Africa in the innovation sector. By identifying key players, partnerships, and initiatives, the project will provide valuable insights into the current state of cross-continental collaboration. The map will serve as a strategic tool for Afrifursa to foster new partnerships, enhance existing collaborations, and identify potential opportunities for growth and development. The project will involve researching and cataloging relevant organizations, analyzing their strategies, and visualizing the data in an accessible format. - Research and identify Canadian companies and organizations with Africa-facing strategies. - Analyze the nature and scope of these strategies. - Visualize the data to create an accessible and informative ecosystem map.

Matches 1
Category Data visualization + 2
Open

Work experience

Junior Account Manager & Data Analyst
UGC SHOP
May 2024 - June 2024

β€’ Built and maintained strong connections between clients and creators while gaining hands-on experience in managing 50+ projects from conception to completion.
β€’ Learned to identify key industry trends, predict viral content, understand engagement metrics, and use data analysis techniques such as Sentiment Analysis, Social Listening, Predictive Analysis and A/B Testing to uncover performance insights.
β€’ Learned to understand the elements that differentiate high-quality videos from others, focusing on what makes some videos perform better.

Education

Bachelor, Honours Mathematics
University of Waterloo
September 2023 - April 2027

Personal projects

Facial Emotion Recognition Software
September 2024 - Current

My peers and I are working with an AI industry professional to develop facial emotion recognition software, including a front-end app. We're training and testing a convolutional neural network using the FER2013 dataset from Kaggle.
Flights Webscrapper
September 2023 - October 2023

I built a cheap flights web scraper using Python, leveraging the Selenium and Pandas libraries. It automates searches on Expedia, extracts flight prices, and organizes the data for easy analysis.