Jainendra Tiwari
Also known as: Jay Tiwari
Cognizant Technology Solutions India, Indian Institute of Technology Madras, Institute of Infrastructure Technology Research and Management
About
Jainendra is a disciplined, hardworking, and self-motivated student aspiring to get better every day. He recently completed his Bachelor of Technology in Electrical Engineering from the Department of Electrical and Computer Science Engineering, IITRAM - Ahmedabad (an Autonomous University established by Govt. of Gujarat).
He has an excellent academic record and stands among the top 4 students in the department with an overall CPI of 8.56 out of 10 and the last four semesters' CGPA of 9.25 out of 10. He is also in the Dean's Merit List. He has co-authored 4 journal publications and received the prestigious Undergraduate Research Award-2 for excellent research performance at the Undergraduate level.
His areas of interest include Artificial Intelligence, Machine Learning, and Data Science.
He is currently working as a Programmer Analyst Trainee at Cognizant Technology Solutions Limited (Bengaluru, Karnataka, India).
Out of interest, he is currently pursuing the Bachelor's program in Programming and Data Science offered by IIT Madras.
Employment
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Cognizant Technology Solutions India Programmer Analyst Trainee2021 - Present
Education
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Indian Institute of Technology Madras Programming and Data Science2021 - Present
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Institute of Infrastructure Technology Research and Management Bachelor of Technology2017 - 2021
Projects & Funding
Projects & funding information is unavailable.
Publications (5)
- An Automated Wavelet-Based Sleep Scoring Model Using EEG, EMG, and EOG Signals with More Than 8000 Subjects Save
- Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals Save
- Automated Characterization of Cyclic Alternating Pattern Using Wavelet-Based Features and Ensemble Learning Techniques with EEG Signals Save
- Automated Identification of Sleep Disorder Types Using Triplet Half-Band Filter and Ensemble Machine Learning Techniques with EEG Signals Save
- Automatic Sleep-Stage Scoring in Healthy and Sleep Disorder Patients Using Optimal Wavelet Filter Bank Technique with EEG Signals Save