Artificial Intelligence Intern

• Developed an AI-powered Resume Screening & Ranking System that automates candidate shortlisting using NLP and machine learning, reducing manual screening time by 70% for recruiters • Implemented TF-IDF vectorization and cosine similarity algorithms to match resumes with job descriptions, achieving 85% accuracy in ranking candidates • Engineered a Streamlit-based interactive dashboard featuring real-time resume parsing (PyPDF2), keyword extraction (SpaCy/NLTK), and data visualization (Matplotlib) • Deployed the solution on Streamlit Cloud, enabling recruiters to upload PDF resumes, view similarity scores, and export ranked results as CSV • Collaborated with mentors from Microsoft/SAP to optimize the ML pipeline and enhance system scalability