Jeevan Merkaji Somanna

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Jeevan Merkaji Somanna

Mechatronics · University of Siegen

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Projects

Certified

Self-directed project

Energy and Renewable: Machine Learning for the Power Grid

Junior Machine Learning Engineer · AI / ML · August 2026

84/ 100

A ProoV case study · educational project, not employment

Built a turbine energy-yield regressor end to end on the UCI gas-turbine dataset: framed TEY as the target, excluded downstream CO/NOx leakage features, trained a LinearRegression baseline and a tuned RandomForest, and validated on a held-out later time period. Reported honest held-out MAE/RMSE/R² and documented deployment limits, drift risks, and a monitoring threshold 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 emissions features instead of using them for inflated performance
  • Used a genuine time-based split and kept evaluation on locked-away later data
  • Reported held-out MAE, RMSE, and R², then checked residual spread rather than relying on a single headline metric
  • Wrote a model card that clearly states intended use, limitations, and a concrete drift-monitoring plan
  • Leakage-Free Feature Selection
  • Honest Held-Out Evaluation
The work I submitted19 tasks

11 tasks · 12 lines · Python · 8 written answers · 430 words

  • Problem Frame149 characters
  • Leakage Flags114 characters
  • Train Validate BaselinePython · 1.4k characters
  • Train Validate124 characters
  • Train Validate Forest943 characters
  • Tune Evaluate SetupPython · 1.5k characters
  • Tune Evaluate ResidualsPython · 2 lines
  • Tune Evaluate132 characters
  • Residual Read301 characters
  • Drift Monitor91 characters
  • Model Card1.7k characters
  • Problem Frame8 words
  • Leakage Flags1 word
  • Train Validate Baseline141 words
  • Train Validate1 word
  • Train Validate Forest76 words
  • 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
84Average score
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