YERRAMSETTI NIKHIL NAIDU

Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.

• Certification of Appreciation on "Quiz on recent trends in it", conducted by Shree L.R. Tiwary College of Engineering.
• Attended the Summer online Training Programmer on IOT conducted by APSSDC

The Predicting Restaurant Reviews through Natural Language Processing project utilizes advanced NLP techniques to assess and anticipate customer sentiments in restaurant reviews. The methodology involves text data preprocessing, feature extraction, and the use of machine learning algorithms for model training. Key components such as sentiment analysis, topic modeling, and semantic understanding enhance prediction accuracy. The diverse dataset encompasses various culinary preferences and customer experiences, enabling the model to generalize effectively. The project aims to offer valuable insights for restaurant owners, supporting data-driven decisions to enhance customer satisfaction.

The Interview Management System project focuses on digitally managing interviews for eligible candidates. It provides interviewers with the capability to view, add, and remove candidates, as well as update and add interview questions.