Sneha Balasubramoni
Sneha Balasubramoni

AI Data Science Engineer

Medtronic

About Me

šŸ‘‹šŸ¼ Hi! I’m Sneha, a Master’s student in Artificial Intelligence at NTU Singapore. As a future AI researcher with roots in storytelling and investigative thinking, Iā€™m fascinated by how machine learning models make decisions - and how we can make them more transparent, ethical, and accessible.

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Interests
  • Artificial Intelligence
  • Natural Language Processing
  • Explainable AI
Education

  • BTech in Computer Science and Engineering (Artificial Intelligence)

    Amrita Vishwa Vidyapeetham, Bangalore

šŸ“š My Research

Iā€™m deeply interested in the intersection of AI and healthcare ā€” especially using NLP and deep learning to tackle real-world clinical challenges.

At Medtronic, I built a recommendation system for diabetes product complaints, which deepened my interest in responsible, impactful AI.

My recent publication explores transformer-based approaches to improve OCR outputs in noisy medical text.

I’m especially excited by research that bridges cutting-edge AI with practical healthcare needs.

Featured Publications
Text Post-processing on Optical Character Recognition output using Natural Language Processing Methods
Natural Question Generation using Transformers and Reinforcement Learning
Recent Publications
Sneha Balasubramoni (2023). Text Post-processing on Optical Character Recognition output using Natural Language Processing Methods . 2023 IEEE 3rd Mysore Sub Section International Conference (MysuruCon).
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Sneha Balasubramoni (2022). Natural Question Generation using Transformers and Reinforcement Learning. 2022 OITS International Conference on Information Technology (OCIT).
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Sneha Balasubramoni (2022). Speech Recognition using Weighted Finite-State Transducers. 2022 IEEE 7th International conference for Convergence in Technology (I2CT).
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Sneha Balasubramoni (2022). Attendance Tracking with Face Recognition Through Hidden Markov Models. 2022 International Conference on Electronics and Renewable Systems (ICEARS).
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Recent & Upcoming Talks
ML Study Group Series Session 4 - Decision Trees and Random Forest
ML Study Group Series Session 3 - Naive Bayes and SVM
Small Steps with Artificial Intelligence