Suicide Risk Prediction & Mental Health Analytics

Suicide Risk Prediction & Mental Health Analytics

• Developed ML and BI solution for early suicide-risk detection.

• Cleaned & prepared dataset (1,099 records, 12 features)

• Performed feature engineering & handled class imbalance

• Trained & evaluated Decision Tree, Random Forest, Neural Network (~91% accuracy)

• Built interactive Power BI dashboards for mental-health insights

Tech & Skills: Python, Scikit-Learn, TensorFlow, Pandas, NumPy, Imbalanced-Learn, Power BI, Power Query, Feature Engineering, EDA