Dileep Rathore

Implemented a predictive modeling project to forecast residential property prices using advanced data analysis and machine learning techniques.

Developed and implemented a robust house price prediction model, enhancing accuracy by [insert percentage].

Demonstrated strong analytical and problem-solving skills by navigating challenges in data preprocessing and feature engineering.

• Aggregated data from IMDB and Rotten Tomatoes, and used k-nearest-neighbors in scikit-learn to build an improved movie recommendation system
• Saved an average of 17 minutes on movie selection relative to previous methodology
• Built visualizations in Tableau to show how my ratings changed and how the model performed over time.

• This application is reduced as much as possible to avoid errors while entering the data
• 'College student information System' has been developed to override the problems prevailing in the practicing manual system
• Easy to use and reduce the paper work
• We use SQL database for save all data.