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Azal Fatima
Data Scientist at Intuit | Indian Institute of Science, Bangalore
About
Azal Fatima is a highly skilled and motivated Teaching Assistant at the Department of Computer Science and Automation at the Indian Institute of Science in Bangalore. With a Master of Technology in Computer Science and Automation from IISC, Azal is well-versed in various technologies such as Python, Deep Learning, CNN, SVM, ML, NLP, Keras, Seaborn, Adversarial Networks, Word2Vec, Scikit, Tensorflow, and Pandas. Azal has over a year of relevant experience in the field of computer science, having previously worked as a Summer Intern at BSNL. She has also completed her Bachelor of Technology in Computer Science and Engineering from Dr. A.P.J. Abdul Kalam Technical University. Azal's education history also includes completing her Intermediate and High School education from St. Pauls Inter College (CBSE). Currently, Azal is working as a Teaching Assistant for the Game Theory course offered by Prof. Y. Narahari at the Indian Institute of Science. Her role involves assisting students in understanding complex concepts, grading assignments, and conducting lab sessions. Azal's excellent communication and interpersonal skills have made her a valuable member of the department. Azal is passionate about technology and is always eager to learn new skills. Her expertise in various technologies has allowed her to work on several projects, including developing a machine learning-based model for predicting the quality of wine. She has also worked on projects related to image recognition and natural language processing. In summary, Azal Fatima is a highly skilled and motivated individual with a strong educational background and relevant experience in the field of computer science. Her expertise in various technologies and passion for learning make her a valuable asset to any organization.
Education Overview
• indian institute of science iisc
• dr. a.p.j. abdul kalam technical university
Companies Overview
• intuit
• indian institute of science
• bsnl
Experience Overview
2.5 Years
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