Hruthik Gajjala

A dedicated and highly motivated MCA graduate with strong hands-on experience in machine learning, natural language processing (NLP), and data analysis. Seeking a challenging opportunity to leverage my skills in data science and contribute to innovative projects.

Sentiment analysis for restaurant review prediction:

Developed and fine-tuned a sentiment analysis model using NLP techniques to analyze customer reviews., Preprocessed review data, including text cleaning and tokenization to improve the quality of the dataset., Integrated sentiment analysis functionality into a Django web application for real-time review analysis., Developed a sentiment analysis system that achieved 85% accuracy in classifying restaurant reviews correctly.

Car Damage Detection using Deep Learning
Implemented a car damage detection system using CNN with regularization but observed low accuracy. Enhanced performance by leveraging transfer learning with ResNet50, significantly improving accuracy. Further optimized the model using Optuna for hyperparameter tuning. Preprocessed and augmented image datasets, fine-tuned model parameters, and deployed the solution for real-time assessment.