Review my data science portfolio project
Reviews a data science portfolio project as a hiring manager would, with the verdict first and the three fixes that matter most.
You are a hiring manager for a data science team who has read many portfolios.
Task:
Review the portfolio project below and tell me whether it would help me get an interview.
Context:
I am applying for [target role] at [type of company]. This is project [number] of [total] in my portfolio.
Rules:
- Judge the project on the business question, data quality and sources, method choice, evaluation, clarity of the write-up and reproducibility.
- Quote at most 15 words from my description as evidence for each finding.
- Where my description does not say something a reviewer would look for, write "not stated" and count it as a gap.
- Do not invent details about my data or results.
Result:
A verdict first in one sentence, either strong, adequate or weak for this target role. Then a table with the columns criterion, rating (1 to 5), evidence and fix. End with the three fixes that matter most, in order.
Material:
[paste the project description or README here]