Self-directed project
Energy and Renewable: Machine Learning for the Power Grid
Junior Machine Learning Engineer · AI / ML · September 2026
A ProoV case study · educational project, not employment
Built a leakage-aware turbine yield predictor end to end: framed TEY as a regression target, excluded downstream CO/NOx emissions, trained both a LinearRegression baseline and a RandomForest model, and validated on a genuine time-based holdout. The final report includes held-out MAE/RMSE/R², a residual read, and a practical monitoring plan for drift and retraining.
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 documented why
- Used an earlier-period train / later-period test split instead of a random shuffle
- Compared a linear baseline against a tree ensemble and showed a real held-out MAE improvement
- Read residual behavior and noted that metrics do not prove unbiased performance across all operating ranges
- Leakage-Free Feature Selection
- Time-Based Model Validation
The work I submitted20 tasks
12 tasks · 13 lines · Python, JavaScript · 8 written answers · 437 words
- Problem Frame180 characters
- Leakage Flags113 characters
- Train Validate BaselinePython · 1.4k characters
- Train Validate Forest942 characters
- Train Validate124 characters
- Tune Evaluate SetupPython · 1.5k characters
- Tune Evaluate ResidualsPython · 2 lines
- Tune Evaluate129 characters
- Residual Read247 characters
- Drift Monitor92 characters
- Model Card994 characters
- Teach BackJavaScript · 738 characters
- Problem Frame15 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.