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Prof .Smita Gavkar

Assistant Professor
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

Detail-oriented and analytical aspiring data professional with hands-on experience in data analysis, visualization, and statistical modeling. Skilled in Python, SQL, Excel, Tableau, and machine learning concepts. Passionate about turning data into actionable insights and solving real-world problems using data-driven strategies. Strong foundation in mathematics, data wrangling, and storytelling with data.

ME (VLSI and Embedded Systems)
BE (Electronics and Telecommunications)
Course Title Material URL
Tableau Desktop View Material
Machine learning using python View Material
Data science Master's program View Material
Date Title Type Level Academic Year
2016-04-21 INTRA-BODY COMMUNICATION IN BIOMEDICAL APPLICATIONS Conference SCOPUS INDEXED 2016
2016-06-15 INTRA-BODY COMMUNICATION IN BIOMEDICAL APPLICATIONS JOURNAL FOREX 2016
2026-04-11 Explainable AI Approach for Heart Disease Risk Prediction Using Feature Importance Analysis JOURNAL 2026
Date Title Presented/Published Level Academic Year Organizer / Venue
2016-04-21 INTRA-BODY COMMUNICATION IN BIOMEDICAL APPLICATIONS 2016 International Conference on Computation of Po IEEE 2016
Melmaruvathur, India
The paper presents a new concept of communication method called as Intra-body communication in biomedical field. Human body is used as a medium of transmission of data. The use of this technology in medical monitoring systems eliminates the complexity of existing technologies that involves cables, wires for transmission of data. The proposed model provides a secure and simple communication system that consists of wearable devices to measure heart-beat and temperature and hence transmits the data to the master device in real time. The model, wearable on wrist or any other part of the body has an integrated processor ARM7 and an insulating material (copper) to allow the intra-body communication using the method of galvanic coupling. Thus the proposed methodology of using human body enhances the security of transmitted signals as compared to the other wireless technologies.

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