Unverified50% confidenceDecision RuleExact time
If the main project has quantifiable results, traces of deployment or engineering, and a skills stack matching the job JD, a new graduate's chances of getting an interview are not low; if the resume stays at the level of "ran a classifier with sklearn," project depth needs to be strengthened before applying.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/22/2026
First Seen
Valid until: 1/20/2027
Sources
Related Entities
Related Claims
VerifiedWhat hiring managers truly look for when screening resumes is whether projects demonstrate the engineering ability to solve real problems, not the number of courses completed.79% similarUnverifiedIn new-graduate resumes, the skills section should be layered by "proficient/familiar" rather than piling up keywords, to avoid being unable to answer when asked about basic concepts in an interview.72% similarUnverifiedFine-tuning the resume for each position and aligning skill descriptions with the job description can improve response rates.72% similarUnverifiedWhen there are only 4–5 months to prepare for campus recruitment, what hiring parties look for in entry-level ML positions is whether candidates can deliver end-to-end projects, rather than how much theory they know.69% similarVerifiedDuring campus recruitment, hiring parties for entry-level ML positions pay more attention to whether candidates can independently complete end-to-end machine learning projects, rather than their grasp of theory.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1087328API
curl https://kongchang.com/api/v1/knowledge/claims/1087328MCP
get_claim(id=1087328)