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Ruchi Patel Ahmedabad, Gujarat, India 7990874175 [email protected] Professional Summary Results-driven B.Tech graduate with strong skills in Python, Java, Artificial Intelligence, Machine Learning, and Web Development. Experienced in developing data-driven applications, machine learning models, and responsive web solutions through academic and personal projects. Passionate about leveraging technology to solve real- world problems and continuously learning emerging technologies. Education Bachelor of Technology (B.Tech) Nirma University, Ahmedabad, Gujarat Graduated: 2021 Technical Skills • Python • Java • Artificial Intelligence • Machine Learning • Web Development • HTML, CSS, JavaScript • SQL • Data Analysis • Git & GitHub Project Experience AI-Based Student Performance Prediction System • Developed a machine learning model to predict student academic performance using historical data. • Applied data preprocessing, feature engineering, and model evaluation techniques. • Improved prediction accuracy through algorithm optimization. Smart Healthcare Recommendation System • Built an AI-powered recommendation system for preliminary health guidance based on user symptoms. • Integrated machine learning algorithms for personalized recommendations. • Designed an intuitive user interface for enhanced user experience. E-Commerce Web Application • Developed a full-stack e-commerce platform with product catalog, user authentication, and order management. • Implemented respo
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ClassificationAnnotated and classified customer reviews into predefined categories using Natural Language Processing techniques. Performed data cleaning, text labeling, quality validation, and dataset preparation to support machine learning models for customer feedback analysis. Maintained annotation consistency and contributed to improving model accuracy through quality assurance processes.
TextClassificationDeveloped an AI-powered resume screening and candidate ranking system using Python and Machine Learning techniques. The project involved collecting and preprocessing resume datasets, classifying candidate profiles based on job requirements, and generating candidate rankings using predictive algorithms. Performed text annotation, data cleaning, feature extraction, and quality validation to improve model accuracy. The system helped automate recruitment workflows and reduced manual screening efforts while maintaining high classification accuracy.
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Text SummarizationAnnotated and classified student academic records, attendance reports, and performance documents for machine learning model development. Conducted data validation, quality assurance, document categorization, and dataset preparation to support predictive analytics for student performance evaluation.
