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 an end-to-end TEY predictor for gas-turbine data using the eight legitimate sensor inputs and explicitly excluding downstream CO/NOx emissions to avoid leakage. Compared a LinearRegression baseline with a RandomForest on a time-based held-out split, reported MAE/RMSE/R² on unseen data, and 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 excluded CO and NOx as downstream leakage features and explained why they are unavailable at prediction time.
- Used a genuine time-based train/test split instead of a random shuffle, preserving the temporal structure of the data.
- Reported held-out MAE, RMSE, and R² and added a residual read to check bias and error spread.
- Wrote a coherent model card that names intended use, limitations, and a concrete retraining trigger.
- Leakage-Free Feature Selection
- Honest Held-Out Evaluation
The work I submitted20 tasks
12 tasks · 13 lines · Python, JavaScript · 8 written answers · 428 words
- Problem Frame227 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 Evaluate130 characters
- Residual Read244 characters
- Drift Monitor92 characters
- Model Card1.0k characters
- Teach BackJavaScript · 704 characters
- Problem Frame18 words
- Leakage Flags1 word
- Train Validate Baseline141 words
- Train Validate Forest76 words
- Train Validate1 word
- Tune Evaluate Setup110 words
- Tune Evaluate Residuals80 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.