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InterviewPrep.md

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Interview Prep

Presenters:

  • Product Management: Kaitlyn Yong
  • Software Engineering: Anthony Zhang & Calvin Chan
  • Design: Simran Jassal & Queenie Wu
  • Data Science: Matthew Reyes

Target Audience:

  • Hackers who are new to the interviewing process, interested in transitioning, or simply looking to brush up on their skills.

Suggested Prerequisites:

  • None

Description:

Learn tips & tricks to help you ace your interviews and land your next job!

Content Breakdown:

  • Product Management:

    • PM 101: 5 W’s of Product Management
    • From SWE to PM
      • How to sell your technical skill set
      • How to transition
    • PM Internships / Jobs
      • How to find opportunities
      • Types of PM opportunities
      • Big company vs small company
    • PM Interviews
      • Interview process
      • Interview format
      • Types of questions asked
      • Frameworks to use
    • Q&A
  • Software Engineering:

    • Marketable Skills
      • How to figure out which skills to attain
    • Resume
      • Miscellaneous resume tips
      • Walking through Calvin’s resume
    • How/Where to Apply
      • Sources to apply externally
    • Interviewing
      • General interviewing tips
      • Walking through a question (Calvin interviews Anthony) and commentary on how we interview
    • General Career Advice
      • How & why we made certain career decisions
    • Q&A
      • For UW Co-op students: Guidelines for wisely applying on WaterlooWorks
  • Design:

    • Design 101
      • What is design really? How does it fit into a team?
      • UI vs UX vs (graphic/marketing/branding)
      • Design process basics and skills you need (tools, techniques)
    • What’s in a design interview?
      • How to find jobs
    • Portfolio Perfection & Case Studies
      • How to get your portfolio looking great & what projects to work on
      • How long should a case study be? (how to talk about your projects)
    • Q&A & Project ideas
      • Ask us anything!
      • Things that you can do on the side to put onto your portfolio
  • Data Science:

    • Quick overview of DS jobs
      • Product DS
      • Engineering DS
      • Research DS
    • Expected skills
      • Tech
      • Stats
      • Business & product
      • Domain knowledge
    • General Interview Tips
      • Structuring your answers
      • Practise makes perfect
      • Having a DS mindset
      • Interviewers are human
    • DS Questions
      • Go over DS question categories + examples
        • Technical
          • Coding
          • Stats
        • Knowledge
        • Product & Business
        • Behavioural
        • Describing past projects
    • Resources, Q&A
      • Walk through some interview questions if time permits