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Dr. Sweta Bhadra
Sr Data Analytics Instructor, Data Science · Simplilearn · Karnataka
IMPARC ID IMP-MM-TECH-AS-IN-2026-2300
Member since 2026
Expertise
- Artificial Intelligence
- Data Visualization
- Deep Learning
- Machine Learning
Mentorship offered
- Scientific and Technical Consulting
- Business Strategy Consulting
- Data Processing
- Data Visualization
- Predictive Modeling
- Scientific and Technical Research
Mode: Online · Capacity: More than 5 researchers
Academic links
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About
Dr. Sweta Bhadra is a researcher and academic professional specializing in machine learning, artificial intelligence, and healthcare analytics. With a strong focus on mental health diagnostics and bio-signal processing, her work integrates deep learning, EEG signal analysis, and predictive modeling for early detection of neurological disorders.
She holds a Ph.D. in Machine Learning from Cotton University and has published extensively in SCIE and Scopus-indexed journals. With experience as an Assistant Professor and Data Science Specialist, she combines academic excellence with practical expertise in AI-driven healthcare solutions, training, and data analytics.
Publications 9
Journal articles
- Bhadra, S.; Kumar, C. J.; Bhattacharyya, D. K. (2024). Multiview EEG Signal Analysis for Diagnosis of Schizophrenia: An Optimized Deep Learning Approach. Multimedia Tools and Applications.Scopus
- Bhadra, S.; Kumar, C. J. (2024). Automatic Schizophrenia Detection Using Discrete Wavelet Transform from EEG Signal. NIELIT International Conference (Springer).Scopus
- Bhadra, S.; Kumar, C. J. (2023). Enhancing the Efficacy of Depression Detection System Using Optimal Feature Selection from EHR. Computer Methods in Biomechanics and Biomedical Engineering.Scopus
- Bhadra, S.; Kumar, C. J. (2022). An Insight into Diagnosis of Depression Using Machine Learning Techniques: A Systematic Review. Current Medical Research and Opinion.Scopus
- Sweta Bhadra (2019). Analysis of Tumor Detection Methods for Mammogram Images. International Journal of Computer Sciences and Engineering.Peer-reviewed (not in the indexes above)
Conference papers
- (2024). Automatic Schizophrenia Detection Using Discrete Wavelet Transform from EEG Signal. NIELIT International Conference on Communication, Electronics and Digital Technologies (Springer), NIELIT / Springer Nature Singapore.Scopus
- (2018). Analysis of Writing Style Features in Accordance with Author Identification. 5th International Conference on Computing for Sustainable Global Development (INDIACom), INDIACom.Peer-reviewed (not in the indexes above)
- (2017). Fundamentals of Image Compression Techniques. 4th International Conference on Computing for Sustainable Global Development (INDIACom), INDIACom.Peer-reviewed (not in the indexes above)
- (2016). Study on Feature Extraction of Speech Emotion Recognition. AJET (Asian Journal of Engineering & Technology / Conference-type publication context), AJET.
Experience
-
Sr Data Analytics Instructor
Simplilearn
December 2024 -Present (current)
-
Data Science Specialist
TimesPro
November 2022 -December 2024
-
Master Trainer
Edunet Foundation
August 2022 - November 2022
-
Assistant Professor
Assam Downtown University
August 2019 -November 2021
-
Assistant Professor
Assam Don Bosco University
August 2017 -July 2018
Education
-
April 2021 -June 2025
Ph.D. in Machine Learning, Machine Learning / AI
Cotton University
-
2015
B.Tech (Computer Science Engineering), Computer Science
Assam Don Bosco University
Awards
-
Gold Medalist in M.Tech
Assam Don Bosco University · 2017
-
Keynote Speaker – National Conference on Technology & Innovation in Healthcare
Vinayaka Mission Research Foundation · 2024
-
Plenary Speaker – National Conference (NCTIH 22)
Vinayaka Mission Research Foundation · 2022
Events & training
- 2012
Workshop · IIT Jodhpur
Ethical Hacking & IT Security
- 2013
Workshop · AP2V
Red Hat Enterprise Linux Virtualization
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