Pranav Gaikwad

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Pranav Gaikwad

ENTC · Solapur University

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Projects

Certified

Self-directed project

AI-Assisted Code Modernization with IBM

Junior Software Engineer · Software Engineering · August 2026

92/ 100

Based on a public IBM case study · not affiliated with IBM

Built and verified a full legacy-service repair for KM-Waechter: fixed the wear calculation with true division, handled missing service readings safely, corrected the fleet report’s average and crash path, and preserved the original 15000 km / 80% rules. Also added the missing regression test, modernized the code style, and wrote a data-driven risk analysis that ranks cars by breakdown likelihood using the factors the dataset actually supports.

Graded against

  • Fix and extend the repo with the agent35%
  • Diagnose the bug20%
  • Direct and audit the AI agent25%
  • Explain it like an engineer20%

Passed · pass mark 60/100

What stood out6
  • Correctly identified the floor-division line as the root cause of the near-worn car bug and explained why it collapsed to 0%
  • Caught the agent’s unauthorized threshold change and missing proving test during audit
  • Verified the fix with an acceptance checklist and documented the review process in NOTES.md
  • Produced a breakdown-risk analysis that follows the labeled data instead of the obvious but wrong mileage assumption
  • Leakage-Free Bug Diagnosis
  • Bounded AI Prompting and Review
The work I submitted20 tasks

12 tasks · 2.8k characters · 8 written answers · 149 words

  • Diagnose Line130 characters
  • Diagnose Why211 characters
  • Scope Prompt66 characters
  • Audit Findings158 characters
  • Audit Why427 characters
  • Acceptance Checklist228 characters
  • Template Repo Click82 characters
  • Bob Ready61 characters
  • Bob Trial Click324 characters
  • Exec Pitch760 characters
  • Bob Bonus343 characters
  • Repo URL47 characters
  • Diagnose Line10 words
  • Diagnose Why34 words
  • Scope Prompt1 word
  • Audit Findings1 word
  • Audit Why67 words
  • Acceptance Checklist34 words
  • Template Repo Click1 word
  • Bob Ready1 word

Summarised on purpose — the submitted code and writing stay private so this page cannot be reused as an answer key. The full submission sits behind the verified certificate.

Verified certificateTamper-proof · issued by ProoV
Certified

Self-directed project

Business & Sponsorships — The FC Barcelona Case

Data Science · August 2026

84/ 100

A ProoV case study · educational project, not employment

Built a data-backed sponsorship recommendation for FC Barcelona by analyzing revenue mix, segmenting fans, selecting a budgeted asset package, and evaluating campaign KPIs. Recommended signing ElectraX with prime visibility and digital activation, while clearly stating the operational caveat that premium LED inventory must be guaranteed for the deal to work.

Graded against

  • Business reasoning & decision quality35%
  • Correct use of data25%
  • Frameworks applied20%
  • Communication & structure20%

Passed · pass mark 55/100

What stood out6
  • Correctly computed the revenue mix and identified commercial as the club-controlled growth stream.
  • Chose Asia-Pacific using size and engagement evidence rather than intuition alone.
  • Built a near-full budget package centered on broad-reach assets, matching the awareness objective.
  • Included explicit caveats and a clear decision rule for when the recommendation would change.
  • Leakage-Free Commercial Segmentation
  • Budget-Constrained Asset Selection
The work I submitted18 tasks

10 tasks · 9.9k characters · Python · 8 written answers · 649 words

  • Revenue MixPython · 1.3k characters
  • Revenue Mix Compute532 characters
  • Fan SegmentationPython · 1.0k characters
  • Fan Segmentation Note269 characters
  • Package Builder468 characters
  • Negotiation Simulator487 characters
  • Inbox Responses1.7k characters
  • KPI ScorecardPython · 1.1k characters
  • Mid Season Performance Summary1.1k characters
  • Final Recommendation2.0k characters
  • Revenue Mix101 words
  • Revenue Mix Compute77 words
  • Fan Segmentation53 words
  • Fan Segmentation Note40 words
  • Package Builder40 words
  • Negotiation Simulator69 words
  • Inbox Responses186 words
  • KPI Scorecard83 words

Summarised on purpose — the submitted code and writing stay private so this page cannot be reused as an answer key. The full submission sits behind the verified certificate.

Verified certificateTamper-proof · issued by ProoV
2Projects completed
2Verified certificates
88Average score
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