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Management Engineering Consultancy

TBD
Closed
University of Waterloo
University of Waterloo
Waterloo, Ontario, Canada
Umair Shah
Lecturer
(1)
3
Timeline
  • June 5, 2018
    Experience start
  • December 21, 2018
    Experience end
Experience
1/1 project matches
Dates set by experience
Preferred companies
Anywhere
Any
Any industries
Categories
Skills
business consulting machine learning data analytics data visualization
Student goals and capabilities

Beginning this June, four student-consultant team will spend 6-8 months developing a tailored strategy/application to address an organizational challenge of your choice.

Based on the information you provide, consultant teams will deliver an action plan that accounts for your unique circumstances and outlines a path to more efficient and productive operations.

Students
Undergraduate
Any level
4 Students
Project
100 hours per Student
Students self-assign
Teams of 4
Expected outcomes and deliverables

Phase 1 - Project Plan: Students will connect with organization representative(s) to devise the project scope and prepare a detailed plan for completion of the project.

Phase 2 - Project Execution: Students will work on deliverables outlined in the project plan. Teams will periodically communicate with organization representative(s) as needed to complete project tasks.

Phase 3 - Outcome: 12 to 15 page Report: Students will submit a detailed report on the outcomes of the project.

Project timeline
  • June 5, 2018
    Experience start
  • December 21, 2018
    Experience end
Project Examples

Project examples may include, but are not limited to:

  • Managing a significant organizational change or restructuring.
  • Data analytics through business intelligence
  • Using machine learning algorithms to build predictive models and recommendation systems
  • Experience with supervised and unsupervised machine learning techniques (regression, clustering, association rule, classification, etc.)
  • Natural language processing and text mining
  • Automating reporting using scripting languages like Python, Java, etc.
  • Evaluating historical data to identify trends and propose new strategies
  • Building integrated information system platform with database management back end
  • Human computer interaction concepts to improve usability of products (applications and websites)
  • Creating comprehensive dashboards to enhance data visualization for customers, teams, and executives.
  • Work with the Technical Product and Engineering teams to understand end-user requirements and formulate use cases across the company's client-facing products and internal tools, then translate those into pragmatic and effective technical solutions
  • Build, test, and optimize the data collection, manipulation, and storage processes
  • Develop and prototype new deep learning models and training algorithms for speech recognition and Natural Language Processing
Companies must answer the following questions to submit a match request to this experience:

Be available for a quick phone call with the organizer to initiate your relationship and confirm your scope is an appropriate fit for the experience.

The team will need to (virtually) meet with the industry-partner occasionally; once a week or once every other week for an hour. The meetings would just be for them to make sure that they're on the right track and have understood the requirements.