Arunkumar Kesavan

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Arunkumar Kesavan

Computer Science Engineering

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Projects

Certified

Self-directed project

Energy and Renewable: Machine Learning for the Power Grid

Junior Machine Learning Engineer · AI / ML · October 2026

96/ 100

A ProoV case study · educational project, not employment

Built a turbine TEY predictor end to end using leakage-free sensor features, a LinearRegression baseline, and a tuned RandomForest. Evaluated on a locked-away later time period, the model achieved MAE 1.532 MWh, RMSE 1.937 MWh, and R² 0.9833, and the candidate documented the model’s intended use, limits, and monitoring plan in a concise model card.

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 dropped CO and NOx as downstream emission outputs to avoid target leakage
  • Compared a linear baseline against a tuned RandomForest and showed a clear held-out MAE improvement
  • Reported held-out MAE, RMSE, and R² and interpreted residual behavior rather than relying on a single flattering metric
  • Wrote a model card that names intended use, limitations, monitoring, and the validation split
  • Leakage-Free Feature Selection
  • Held-Out Model Evaluation
The work I submitted20 tasks

12 tasks · 13 lines · Python, JavaScript · 8 written answers · 434 words

  • Problem Frame199 characters
  • Leakage Flags113 characters
  • Train Validate BaselinePython · 1.4k characters
  • Train Validate Forest943 characters
  • Train Validate124 characters
  • Tune Evaluate SetupPython · 1.5k characters
  • Tune Evaluate ResidualsPython · 2 lines
  • Tune Evaluate132 characters
  • Residual Read286 characters
  • Drift Monitor95 characters
  • Model Card2.1k characters
  • Teach BackJavaScript · 847 characters
  • Problem Frame12 words
  • Leakage Flags1 word
  • Train Validate Baseline141 words
  • Train Validate Forest76 words
  • Train Validate1 word
  • Tune Evaluate Setup110 words
  • Tune Evaluate Residuals92 words
  • Tune Evaluate1 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
1Project completed
1Verified certificate
96Average score
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