DS Freshers
Fresher Data Science Application & Resume Portfolio Tracker
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Daily Velocity
40.0 applications/day
Pace across search window
Response Callback Rate
0.25%
Industry baseline: 1.5% - 3.0%
ATS Resume Score
68/100
Skills + Project proof weight
Identified Bottleneck
Keyword Filter & Portfolio Proof
Auto-diagnosed from funnel metrics
Pipeline Parameters
Adjust Realtime
Total Applications Sent
800
Days Active in Job Hunt
20
Interview Calls Received
2
End-to-End Projects on GitHub
2
Presets:
Reddit 800-Post Case
Targeted (150 Apps)
Optimized Portfolio
ATS Technical Skills Matrix
4 active
Click to toggle verified skills on your fresher CV:
Data Science Hiring Funnel Drop-off
0.25% Conversion
Top: Applications (100%)
ATS Screening (~15%)
Recruiter Review (~3%)
Interviews
Actionable Funnel Diagnostic & Fixes
Fresher Action Plan
Root Cause: High Volume, Low Keyword & Proof Density
Applying to 40 jobs/day triggers generic rejection algorithms. Cut raw volume to 10-15 targeted applications.
Add missing foundational tools:
Git
(for repo versioning) and
Tableau / PowerBI
for business metric dashboards.
Your 2 GitHub projects need live Streamlit/Render demo URLs and explicit business impact bullets in READMEs.
Prioritize warm reach-outs to Data Science team leads on LinkedIn instead of 1-click job boards.
Job Search Retrospective Snapshot
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