University of Prince Edward Island
University of Prince Edward Island
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Mamkon Mercy Oyeleke
Mamkon Mercy Oyeleke
Learner - She
(1)
9
Location
Toronto, Ontario, Canada
Bio

With 9 years of experience, I specialize in transforming complex data sets into actionable insights that fuel growth and strategic decision-making. My expertise lies in data analysis best practices, enabling me to craft reports and dashboards that have, for instance, improved patient care outcomes by 8% for non-profit organizations. I have successfully led financial analysis initiatives, identifying key market trends and reducing budgeting errors by 10%.

I excel in team collaboration and am adept at translating Big Query data into clear, actionable insights, fostering effective communication across departments. Currently, I am pursuing a Postgraduate Certificate in Analytics for Business Decision Making at George Brown College, with a focus on enhancing business strategies through collaborative data analysis. My goal is to leverage my skills to drive meaningful change and support data-driven decision-making in dynamic environments.

Resume
My Data Analyst Resume.docx
Portals

Skills

Customer acquisition management 2 Data analysis 2 Data collection 2 Digital marketing 2 Internet marketing 2 Lead generation 2 Marketing 2 Research 2 Research methodologies 2 Usability 2

Socials

Achievements

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Level UP community builder - March 2025 cohort
Issued by Level UP: March 2025
Awarded for providing feedback at the end of a Level UP project.
Completed on May 14, 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 May 10, 2025
Emerging Marketer
Issued by Riipen
The Emerging Marketer achievement is awarded to learners who have completed two or more more projects in Marketing, demonstrating a commitment to growing and applying their skills in this area.
Completed on May 10, 2025

Latest feedback

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Daryl Oberg
Daryl Oberg
Owner
May 10, 2025
Individual endorsement
Internet marketing Lead generation Research methodologies Marketing Customer acquisition management Digital marketing Data analysis Data collection Research Usability

Mercy will make sure to ask questions to deliver what you need and is very responsive with communication. She is great to work with!

Learner feedback
Mercy made sure to go above and beyond. Her level of detail, communication and making sure she provided what we were looking for was the best project experience we ever had on Riipen. Thank you Mercy!
Internet marketing Lead generation Research methodologies Marketing Customer acquisition management Digital marketing Data analysis Data collection Research Usability
Riipen Level UP 🚀
Level UP: March 2025
Riipen Level UP 🚀
AYD Internet Marketing
Lead Generation Research for AYD Internet Marketing
AYD Internet Marketing

Recent projects

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AYD Internet Marketing
AYD Internet Marketing
Kelowna, British Columbia, Canada

Lead Generation Research for AYD Internet Marketing

AYD Internet Marketing is seeking to enhance its client acquisition strategy by developing a comprehensive lead list from its existing groups. The project involves conducting detailed research to identify potential leads within these groups, which are crucial for expanding the company's client base. The goal is to systematically analyze group data to extract relevant contact information and categorize leads based on predefined criteria. This project provides learners with the opportunity to apply their research and data analysis skills, as well as their understanding of digital marketing strategies, to a real-world scenario. The tasks are closely related and focused on data collection and organization, ensuring that the project remains manageable and within the scope of a single academic program.

Matches 1
Category Lead generation + 2
Open

Personal projects

Customer Churn Analysis for Business Optimization
September 2024 - December 2024
https://taliplus.wixsite.com/mercyoyeleke

This project focuses on using Machine Learning (ML) to predict customer churn and optimize business strategies for customer retention. The goal is to analyze customer behavior, identify key churn indicators, and develop a predictive model to reduce churn by 20% while improving retention strategies.