Gayatri Mehetre

As a dedicated B.Tech student majoring in Computer Science and Engineering, I am focused on transforming my academic knowledge into practical expertise. My coursework and projects have given me a solid foundation in programming languages, problem-solving, and team collaboration. I am constantly seeking new learning opportunities to enhance these skills, and seeking entry-level opportunities to further strengthen my abilities and contribute to company growth.

Fake News Detection using Machine Learning

• Developed algorithms for detecting fake news using natural language processing (NLP) and machine learning techniques.
• Implemented feature extraction methods and built classification models to distinguish between legitimate and false news articles.
• Conducted performance evaluation through metrics like precision, recall, and F1-score to enhance model accuracy and robustness.
• Leveraged tools such as TensorFlow, PyTorch, Scikit-learn, and NLTK for model development and evaluation.

Movie Recommendation System

• Developed collaborative and content-based filtering techniques for personalized movie recommendations.
• Performed A/B testing to evaluate and improve recommendation effectiveness.
• Utilized tools like TensorFlow, PyTorch, Scikit-learn, and Spark for model development and deployment.

• Innovation by Design by Prof. B.K. Chakravarthy - IDC School of Design-IIT Bombay
• AWSAcademy: Cloud Foundations [84149]
• Research Paper on Comparative Study on Different Approaches Used in Word Sense Disambiguation - NLP
• Research Paper on Fake News Detection Using Machine Learning Algorithm