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Project Review

Fin's prompt: "Walk us through a machine learning project you've worked on."

TEMPLATE: fill in with your real project. Nothing below is real content yet.

  • Project title / name
  • Timeline (when was it done)
  • Organization / team (where and with whom)
  • Your role (your involvement)

Presenter notes: what Fin is optimizing for

Fin's own tips for this round:

  • Choose a project where you were deeply involved as a hands-on IC
  • Prefer something delivered in production as part of an ML product, over pure research
  • Relative uplift without absolute numbers is fine if the numbers are proprietary
  • If something didn't work, say so. Fin values critical thinking and honest reflection
  • Keep it conversational

Staff/Senior signal to aim for: cross-team or org-level scope, ambiguity you handled, defensible tradeoffs, and quantified impact, not just technical depth.

TEMPLATE: Problem Statement

Fin wants to hear:

  • What problem were you trying to solve
  • Who was affected, and how did you know it was important
  • Was this part of a larger business or research initiative

Fill in with your real project's problem statement.

TEMPLATE: Discovery & Understanding

Fin wants to hear:

  • How did you approach understanding the problem
  • What data was available (or missing)
  • Domain-specific constraints or challenges

Fill in with what you actually did.

TEMPLATE: Technical Approach and Experimentation

Fin wants to hear:

  • What methods, models, or techniques did you consider; what worked and what didn't
  • How did you evaluate or compare approaches
  • Unexpected challenges or pivots
  • Tools, libraries, or platforms worth noting

Fill in with your real methods and decisions.

TEMPLATE: Results & Evaluation

Fin wants to hear:

  • Was the project successful, and how do you know
  • How did you measure outcomes (metrics, business impact)
  • Quantitative or qualitative results

Fill in with your real results. Relative uplift is fine if absolute numbers are proprietary.

TEMPLATE: Collaboration & Teamwork

Fin wants to hear:

  • Who else was involved, and how did you work together
  • Which decisions were collaborative vs individual
  • Cross-functional partnerships (product, design, data engineering)

Fill in with who you actually worked with.

TEMPLATE: Learnings & Reflections

Fin wants to hear:

  • What did you learn
  • What would you do differently
  • Follow-up work or impact beyond the initial project

Fill in with your own honest reflection.

TEMPLATE: Q&A / Discussion

Prompts to remember for this part:

  • Answer questions as they come, not just at the end
  • Be ready to dive deeper into decisions and results
  • Discuss tradeoffs and alternatives
  • Reflect on how this fits the bigger business context