Priyanka Gupta

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Priyanka Gupta

Computer Science · Guru Gobind Singh Indraprastha University

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Projects

Certified

Self-directed project

Predictive Maintenance: Industrial ML for Fault Detection

Condition-Monitoring Engineer · AI / ML · September 2026

88/ 100

A ProoV case study · educational project, not employment

Built an end-to-end rolling-bearing fault detector using vibration snapshots, physics-based features, and a compact decision tree trained only on the training bearings. Evaluated it on held-out healthy and faulty bearings, identified the outer-race fault from the dominant BPFO energy, and justified an alarm threshold with concrete catch-rate, false-alarm, and cost numbers in a maintenance memo.

Graded against

  • Feature engineering (signal to honest numbers)25%
  • Held-out evaluation (honest measurement)25%
  • Cost-based threshold decision + memo25%
  • Compact model + embedded-budget justification15%
  • Plain-language explanation10%

Passed · pass mark 60/100

What stood out6
  • Computed envelope-spectrum energy around the supplied defect frequencies and correctly found BPFO as dominant
  • Chose kurtosis as the strongest time-domain indicator for the impulsive fault
  • Reported a shallow decision tree with stated depth and node count, aligned to an embedded budget
  • Defended the alarm threshold with explicit catch-rate, false-alarm rate, and cost figures
  • Leakage-Free Feature Engineering
  • Honest Held-Out Evaluation
The work I submitted20 tasks

12 tasks · 6.9k characters · Python · 8 written answers · 425 words

  • Initial Prediction50 characters
  • Load Plot Signal CodePython · 1.9k characters
  • Example Load Plot HealthyPython · 952 characters
  • Load Plot Signal205 characters
  • Example Rms WorkedPython · 697 characters
  • Time Features143 characters
  • Freq FeaturesPython · 715 characters
  • Fault Location239 characters
  • Train Classifier363 characters
  • Evaluation Heldout288 characters
  • Threshold Decision333 characters
  • Decision Memo1.0k characters
  • Initial Prediction6 words
  • Load Plot Signal Code163 words
  • Example Load Plot Healthy90 words
  • Load Plot Signal15 words
  • Example Rms Worked72 words
  • Time Features10 words
  • Freq Features55 words
  • Fault Location14 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
1Project completed
1Verified certificate
88Average score
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