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Fellow:Sine Nitish

235 bytes added, 1 year ago
Added His Publications and Working Status
==Bio==
Sine Nitish is currently pursuing Working as an AI/ML Engineer and Full-Stack Developer in CommandHQ, Completed his bachelor's degree in the stream of Computer Science and Engineering at Madanapalle Institute of Technology and Science. He hails from Vishakapatnam in the state of Andhra Pradesh in India.
He is a meticulous and humble student. He believes that by working hard one can accomplish anything in life. He is passionate about learning new trending technologies like AI, ML, RPA, and many more. His unique thinking helps him to handle any kind of situation. He is a very good programmer and also got certified at basics in AI/ML, Cyber Security, and IOT from Stanford and Harvard online platforms. He is interested and enthusiastic in the field of Artificial Intelligence. He wanted to do research in the field of AI and publish papers. He would like to study by applying his knowledge in real-time. This keenness made him proficient in Python and AI.
He has a dream to be a good entrepreneur and his short-term ambition is to work as a software developer for large multinational corporations such as Google and Microsoft, and his long-term goal is to launch a software startup.
 
== Publications ==
 
* A Stroke Complication Neural Network Model to Predict the Severity of Brain Stroke Using Family History. In: Lin, F.M., Patel, A., Kesswani, N., Sambana, B. (eds) Accelerating Discoveries in Data Science and Artificial Intelligence I. ICDSAI 2023. Springer Proceedings in Mathematics & Statistics, vol 421. Springer, Cham. <nowiki>https://doi.org/10.1007/978-3-031-51167-7_79</nowiki>
==Achievements==
*He had participated in the Grand Finale of the '''Smart India Hackathon 2022'''
*He acted as school pupil leader and one of the student heads of the discipline committee in his school.
*He participated as a volunteer in a mass campaign and awareness against cancer eradication, to protect the precious human lives & beautiful nature, for a period of 15 days from date 17 December 2009 and also got an appreciation certificate.
==Social media profiles==
2021 Cohort
70

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