Data was taken from Analytics Vidhya.

Link :- https://datahack.analyticsvidhya.com/contest/wns-analytics-hackathon-2018-1/

To identify eligible candidates for promotion based on various attributes around employee's past and current performance.

• Data visualization : Used Matplotlib to visualize distribution of data.
• Data transformation : Used Ordinal Encoder to convert categorical data into numeric data.
• Feature Engineering : Created new features.
• Hyperparameter tuning : Used optuna to find best set of parameters.
• Model Selection : Model selected based on cv-score, as well as public LB-sccore.
• Deployment : Deployed on heroku.

Link :- https://employee-promotion.herokuapp.com/

• Python
• Scikit-learn
• Catboost
• Optuna
• Flask
• HTML