Afshan Momin

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Afshan Momin

Electronics and Telecommunication · JSPM

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Projects

Certified

Self-directed project

Predictive Maintenance: Industrial ML for Fault Detection

Condition-Monitoring Engineer · AI / ML · August 2026

86/ 100

A ProoV case study · educational project, not employment

Built an end-to-end rolling-bearing fault detector using vibration features, envelope-spectrum energy at the supplied defect frequencies, and a compact decision tree trained only on the training bearings. The candidate also validated the model on a held-out set with a full confusion matrix, selected a cost-based alarm threshold, and correctly localized the fault to the outer race via BPFO dominance.

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 at the supplied defect frequencies and correctly identified BPFO as dominant.
  • Used a depth-capped decision tree with stated depth 1 and 3 nodes, aligned to the embedded-budget constraint.
  • Reported a full held-out confusion breakdown with catch rate and false-alarm rate, including all four cells.
  • Justified the alarm threshold using the tradeoff between missed failures and false alarms, not raw accuracy.
  • Leakage-Free Feature Engineering
  • Honest Held-Out Evaluation
The work I submitted19 tasks

11 tasks · 9.5k characters · Python · 8 written answers · 431 words

  • Initial Prediction62 characters
  • Load Plot Signal CodePython · 1.8k characters
  • Load Plot Signal205 characters
  • Example Rms WorkedPython · 697 characters
  • Time Features143 characters
  • Threshold Decision335 characters
  • Freq FeaturesPython · 1.2k characters
  • Fault Location239 characters
  • Train Classifier363 characters
  • Evaluation HeldoutPython · 3.8k characters
  • Decision Memo739 characters
  • Initial Prediction9 words
  • Load Plot Signal Code163 words
  • Load Plot Signal15 words
  • Example Rms Worked72 words
  • Time Features10 words
  • Threshold Decision26 words
  • Freq Features122 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
Certified

Self-directed project

Machine Learning for Automotive Safety

Perception Validation Engineer (ADAS Safety Sign-off) · AI / ML · June 2026

84/ 100

A ProoV case study · educational project, not employment

A verified, self-directed Perception Validation Engineer (ADAS Safety Sign-off) project — completed and passed a real industry rubric at 84/100 on ProoV.

Graded against

  • Detection metrics correctness (precision, recall, VRU false-negative rate)30%
  • Failure-mode analysis & per-condition rigour25%
  • SOTIF safety case quality (ISO 21448 reasoning)25%
  • Ship verdict — evidence-based & internally consistent20%

Passed · pass mark 60/100

What stood out6
  • Correctly computed and interpreted the IoU-based match rule at the 0.5 threshold
  • Reported the key safety metric as VRU false-negative rate rather than relying on headline accuracy
  • Identified the severe night and occlusion recall collapse, including the worst combined slice
  • Linked the real Uber Tempe crash back to the dossier’s own night/rare-class failure modes
  • Data-Driven Decision Making
  • Perception Metrics Analysis
The work I submitted20 tasks

12 tasks · 14.4k characters · Python · 8 written answers · 845 words

  • Sensor Match553 characters
  • Example Iou Demo1.5k characters
  • Task Definition Code1.1k characters
  • Task Definition377 characters
  • Example Metrics DemoPython · 2.2k characters
  • Scored Metrics RunPython · 2.3k characters
  • Scored Metrics351 characters
  • Ttcs Example SlicePython · 1.3k characters
  • Ttcs Triage SlicePython · 1.6k characters
  • Sotif Case1.8k characters
  • Realcase Analysis530 characters
  • Teachback821 characters
  • Sensor Match27 words
  • Example Iou Demo169 words
  • Task Definition Code149 words
  • Task Definition42 words
  • Example Metrics Demo154 words
  • Scored Metrics Run143 words
  • Scored Metrics18 words
  • Ttcs Example Slice143 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
85Average score
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