As an experienced data scientist, Rayees Ahmad Dar possesses a deep understanding of cutting-edge data mining techniques, machine learning algorithms, and statistical modeling that enables him to uncover valuable insights and drive tangible business outcomes. He is proficient in programming languages such as Python and SQL with expertise in deep learning, language models, reinforcement learning and big data technologies. He has published multiple research papers on fake news detection using ensemble learning and NLP.
Experience
Research Scholar
University of Kashmir
Developed and implemented deep learning models using transformers for fake news detection on social media. The models were further improved using ensemble learning, sentiment analysis and dataset augmentation.
Trainer
NIELIT Srinagar
Identified educators' needs in technology integration and developed and delivered training programs and ongoing support.
Freelance software developer and Volunteer
Worked as a web and mobile developer, engaging in various freelance projects and utilizing expertise in technologies such as ASP.NET, Python, PHP, and Flutter. Volunteered skills and efforts towards environmental protection and flood relief initiatives.
Education
Islamic University of Science and technology
MCA
University of Kashmir
BCA