Nen Bakraniya

• Instructed and mentored a diverse cohort of 20 students from 7 countries, enhancing problem-solving skills through Python Programming. • Developed and delivered a comprehensive Python course, emphasizing on solving real -life problems encountered by students. • Utilized Large Language Models (LLMs) to analyse faculty performance in order to optimize teaching methods.

As a researcher, I specialize in the intersection of technology and neuroscience, with a focus on Schizophrenia classification. My expertise, showcased in the Publication section, involves advanced data analytics and imaging technologies. Beyond Schizophrenia, I explore sleep disorders and dream chronology, offering valuable insights into mental health and sleep patterns. My multidisciplinary approach fosters innovative solutions for mental health diagnosis and treatment, underlining my devotion to research

As a data science intern, I was responsible for building a Location Intelligence AI model for the Real Estate data in Singapore. This involved cleaning and filtering large sets of data to gain a proper intuition about the data and prepare it for analysis. Through this internship, I have gained valuable experience in the real estate industry, as well as practical skills in data science and analysis.

Final grade: CGPA: 9.15 Thesis: Cross Platform App for Classifying Skin Diseases/Infections using Neural Network (NN)