University of Prince Edward Island
University of Prince Edward Island
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Shubham Sethi
Learner - He
(1)
3
Location
Sydney, Nova Scotia, Canada
Portals
Categories
Artificial intelligence Communications Market expansion Operations Sales strategy

Skills

Algorithms 2 Artificial intelligence 2 Machine learning 2 Predictive analytics 2 Research 2

Latest feedback

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Quak Foo Lee
Quak Foo Lee
He / Him
CEO
November 30, 2024
Individual endorsement
Algorithms Artificial intelligence Machine learning Predictive analytics Research
Great work
Team feedback
Algorithms Artificial intelligence Machine learning Predictive analytics Research
Excellent work. The team displayed exceptional proficiency in applying machine learning techniques, including K-Means and DBSCAN clustering, to address real-world challenges in customer demand segmentation. Their methodological approach, from data preprocessing to dashboard visualization, showcased a strong understanding of data analysis and its practical applications.
Cape Breton University
Capstone Project Business Analytics - Fall 2024
Cape Breton University
Chmltech Ltd.
Artificial Intelligence & Machine Learning Application
Chmltech Ltd.

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.
Dec 1, 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.
Nov 28, 2024
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.
Sep 16, 2024

Recent projects

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Chmltech Ltd.
Chmltech Ltd.
Maple Ridge, British Columbia, Canada

Artificial Intelligence & Machine Learning Application

Our company advertises thousands of products, and we want to leverage the latest technology to gain market advantage. Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Analyzing our current dataset. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.

Matches 13
Category Data analysis + 4
Closed