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Vancouver, British Columbia, Canada
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Individual endorsement
Was great to work with Rosy throughout the project. She understood right away what was expected of her and showed enthusiasm in taking on the project. In her research, due to a lack of information she wasn't able incorporate statistical data and market analysis but she performed other valuable analysis that contributed to the overall success of the project. For example she demonstrated an understand on the market dynamics and trends in the water recreation industry, she came up with innovative concepts on how to target different demographics which shows a keen entrepreneurial spirit. She even beyond the expectations of the project, for example, she presented revenue forecasts, and ROI analysis to help enhance the feasibility and credibility of our plan. She identified potential challenges, and proposed viable solutions. At all check points she was prepared and presented her findings using well-structured and logical presentations. Overall her final deliverable - an abbreviated business plan, will help enhance the viability of our business strategy.
Team feedback
Recent projects
Data Analysis - Testing our Survey Insights Engine
We have developed a Survey Insights Engine and we would like the help of students to compare the results of our AI software to their manual data analyses. Our AI Survey Insights Engine transforms thousands of quantitative and written survey responses into concise, and actionable insights and key themes – enabling our customers to make better and faster decisions. We need to verify the results of our Survey Insights Engine compared do manual analysis done by humans (the students) What a student can do in 80 hours our AI can do in 30 to 90 minutes. Students will manually analysis the raw survey data, pull out the quantitative and qualitative key themes, and then compare their results to the results of our AI. Deliverables:Manually analyzed raw survey results 1-3 per student (surveys range from 7 to 40+ questions with 100 to 1000+ respondents) that include1) Quantitative results of multiple choice questions 2) Qualitative results (key themes) of written response questions 3) Comparison of manual vs AI survey results analyses
AWS Cloud Practitioner Certification
Students are required to study and pass the AWS Certified Cloud Practitioner Certification. Please view the following link for details: https://aws.amazon.com/certification/certified-cloud-practitioner.Students will be reimbursed for certification exam fees after passing the exam, after certification is registered under our partnership, and with a receipt. We will only reimburse one certification exam per student. We do not pay for failed exams or retakes.Students are expected to re-take failed certification exams at their expense.The following is required for this project.Registering under our AWS partnershipStudents must submit a date for taking their exam on the first day.Studying for the AWS Certified Cloud Practitioner Certification ExamPassing the AWS Certified Cloud Practitioner Certification ExamSending us the official receipt of the exam and other expenses if necessary After completion of all of the above tasks, we will email you documentation that all requirements have been met. This documentation will be used to complete the course in Riipen. Students must complete the project in Riipen by uploading this email and any attachments in the email as proof of completion.
Data Entry - Second Phase
Our company reaches out to hundreds of prospect every year to validate if they are a fit for our business. Within these companies lie multiple personas which fit into our ICP.We would like to collaborate with students in data entry.This will involve several different steps for the students, including:Familiarizing themselves with our database structure.Transferring data into our databases efficiently.Verifying the accuracy of the data in our databases and making relevant updates.Organizing and retrieving data as requested.Bonus steps in the process would also include:Providing assistance in creating new databases.
Artificial Intelligence & Machine Learning Application
Our company wants to leverage the latest technology to gain market advantage. We would like to leverage VertexAI to produce recommendation algorithms and predictive analytics.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.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.