Shubham Koshti

Employee Code : 222

Mobile : 8407982839

Experience : 2

 Joining Date 01-12-2024 DOB 21-06-2002 Gender Male
Email koshtishubham04@gmail.com Department Other Designation ASST PROFESSOR
Official Email koshtishubham04@gmail.com Categoty SBC Mobile 8407982839
Blood Group A+ Marital Status Unmarried Religion Hindu
Current Address 26, Veer Savarkar Nagar, Behind Talathi Office, Pimprala, Jalgaon Permenent Address 26, Veer Savarkar Nagar, Behind Talathi Office, Pimprala, Jalgaon
Qualification Details
Sr.No Qualification Degree Name University/Board Month & Year of Passing Percentage Grade
1 SSC Maharashtra State Board of Secondary & Higher Secondary Education (MSBSHSE), Pune Mar 2018 84.80
2 Diploma Maharashtra State Board of Technical Education(MSBTE), Mumbai Jun 2021 89.60 I st Class Dist.
3 TY/Graduation B.Tech Savitribai Phule Pune University (SPPU) Jun 2024 79.7 I st Class Dist.
Experiance Details
Sr.No Employer Designation Nature of Post From Date To Date Pay Scale Reason for Leaving Experience Type
1 e-Beta Innonations LLP Software Developer Intern Non-Granted 18-12-2023 18-06-2024 15000/m Industry
Research Paper
Sr.No Title Paper Status Name of Publisher/ Journal/Conference/Seminar Authors Or Editors Level Date Volume Issue ISSN Or ISBN PageNumber Peer Reviewed UGC Journey Impact Factor DOI
1 Innovative Deep Learning Approach for Parkinson's Disease Prediction: Leveraging Convolutional Neural Networks for Early Detection Publish Paper in Journal (Springer) EAI EU PHT Bhagyashree R. Wankar, Shubham M. Koshti, Nikita V. Kshirsagar, Amisha V. Jadhav, Srushti R. Bawane, (Dept. of AI GHRCEM, Pune) International Sep 2024 EAI.EU 8 NA 10.4108/10.4108/eetpht.10.6190 (https://www.researchgate.net/publication/381137323_Innovative_Deep_Learning_Approach_for_Parkinson's_Disease_Prediction_Leveraging_Convolutional_Neural_Networks_for_Early_Detection)