Certified
Self-directed project
Energy and Renewable: Machine Learning for the Power Grid
Junior Machine Learning Engineer · AI / ML · August 2026
92/ 100
A ProoV case study · educational project, not employment
Built an end-to-end turbine yield predictor using leakage-free sensor inputs and a genuine time-based split. Compared a LinearRegression baseline against a tuned RandomForest, then reported honest held-out MAE, RMSE, and R² with residual analysis and a concise model card covering intended use, limitations, and monitoring.
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 emissions and documented why they were removed
- Used an earlier-years train / later-years test split instead of a random shuffle
- Reported held-out MAE, RMSE, and R² and checked residual behavior rather than only quoting a headline score
- Explained the model to a non-technical manager in clear terms, including the main failure mode
- Leakage-Free Feature Selection
- Time-Based Validation Discipline
The work I submitted20 tasks
12 tasks · 13 lines · Python, JavaScript · 8 written answers · 469 words
- Problem Frame237 characters
- Leakage Flags113 characters
- Train Validate BaselinePython · 1.4k characters
- Train Validate Forest943 characters
- Train Validate124 characters
- Residual Read234 characters
- Tune Evaluate SetupPython · 1.5k characters
- Tune Evaluate ResidualsPython · 2 lines
- Tune Evaluate132 characters
- Drift Monitor93 characters
- Model Card1.6k characters
- Teach BackJavaScript · 797 characters
- Problem Frame19 words
- Leakage Flags1 word
- Train Validate Baseline141 words
- Train Validate Forest76 words
- Train Validate1 word
- Residual Read29 words
- Tune Evaluate Setup110 words
- Tune Evaluate Residuals92 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.