A.H.A Abu Obaida

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A.H.A Abu Obaida

Mechanical Engineering · Islamic University of Technology

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Projects

Certified

Self-directed project

Supply Chain Optimization with SAP Business AI

Business AI Associate · AI / ML · August 2026

84/ 100

A ProoV case study · educational project, not employment

Built a practical supply-chain rescue concept for a fictional SAP manufacturer: identified the true single-source bottleneck, framed the business impact in euros and idle days, and designed a Joule-style copilot that recommends the next best action while keeping high-stakes decisions with humans. The work includes a defensible ROI estimate, a clear decide-vs-escalate guardrail, and a concise board pitch with a bounded pilot ask and success metric.

Graded against

  • Problem framing & business sense30%
  • Business-AI solution design & guardrails30%
  • ROI and decision quality25%
  • Executive communication15%

Passed · pass mark 60/100

What stood out6
  • Correctly identified the real bottleneck as the single-sourced critical component with ~2 weeks of cover, and explicitly rejected the decoy port delay
  • Specified a Joule-style copilot that reads live supplier health, inventory cover, open POs, and port status, then surfaces one next action for human approval
  • Applied the low-value, reversible, high-confidence guardrail correctly, including escalating the cheap-but-irreversible and high-stakes actions
  • Sized payback honestly from the given levers and kept the India transfer call focused on what must be re-localized
  • Leakage-Free Problem Diagnosis
  • Human-in-the-Loop AI Design
The work I submitted19 tasks

11 tasks · 7.9k characters · 8 written answers · 622 words

  • SAP Brand Sentiment Pre181 characters
  • Trust Pledge135 characters
  • Diagnose Break316 characters
  • Problem Statement1.2k characters
  • Copilot Spec790 characters
  • Guardrails Sort1.3k characters
  • ROI Payback613 characters
  • India Transfer642 characters
  • Board Pitch1.6k characters
  • Teach Back896 characters
  • SAP Brand Sentiment Post190 characters
  • SAP Brand Sentiment Pre14 words
  • Trust Pledge20 words
  • Diagnose Break23 words
  • Problem Statement185 words
  • Copilot Spec106 words
  • Guardrails Sort127 words
  • ROI Payback66 words
  • India Transfer81 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

Energy and Renewable: Machine Learning for the Power Grid

Junior Machine Learning Engineer · AI / ML · July 2026

84/ 100

A ProoV case study · educational project, not employment

Built a leakage-aware gas-turbine TEY predictor end to end: selected the correct sensor inputs, excluded downstream CO/NOx emissions, trained a LinearRegression baseline and a RandomForest model, and validated on a locked-away later-year test split. The final model was evaluated honestly with held-out MAE, RMSE, R2, and a residual read, and the submission includes a concise model card and manager-friendly explanation of when the model should and should not be trusted.

Graded against

  • Build and validate the model correctly35%
  • Optimize and evaluate honestly25%
  • Write the Model Card (clarity + honesty)25%
  • Explain it to a non-expert15%

Passed · pass mark 60/100

What stood out6
  • Correctly excluded CO and NOx as downstream leakage features and kept the 8 legitimate sensor inputs
  • Used an earlier-years train / later-years test split instead of a random shuffle
  • Compared a LinearRegression baseline to a RandomForest and showed a clear held-out MAE improvement
  • Reported held-out MAE, RMSE, R2, and checked residual spread rather than relying on a single flattering metric
  • Leakage-Free Feature Selection
  • Time-Based Holdout Validation
The work I submitted4 tasks

2 tasks · 253 characters · 2 written answers · 8 words

  • Problem Frame140 characters
  • Leakage Flags113 characters
  • Problem Frame7 words
  • Leakage Flags1 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
2Projects completed
2Verified certificates
84Average score
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