Summary
Overview
Work History
Education
Skills
Relevant Courseworks
Certification
Research Publications
Timeline
Generic

Swagata Barik

Research Scholar
Kolkata

Summary

Ph.D. Research Scholar specializing in biomedical signal processing, with hands-on experience in machine learning and data analytics. Proficient in Python, MATLAB, SQL, and Power BI, with expertise in data preprocessing, feature engineering, statistical analysis, and predictive modeling. Experienced in developing reproducible data pipelines, model training and evaluation, and applying AI/ML techniques to real-world datasets. Author of multiple peer-reviewed publications, committed to delivering data-driven solutions to complex engineering challenges.

Overview

1
1
year of professional experience
3
3
Certifications

Work History

Junior Research Fellow

Bhaktivedanta Research Center
09.2024 - 08.2025

· Acquired, managed, and preprocessed EEG and other physiological datasets, ensuring data quality and developing reproducible analysis pipelines using Python.

· Performed statistical analysis, feature extraction, and machine learning-based modeling to identify patterns and support data-driven research outcomes.

· Prepared scientific manuscripts, technical reports, and publications while collaborating with multidisciplinary teams on AI/ML and biomedical signal processing projects.

Education

Ph.D. - Applied Physics (Instrumentation Engineering)

University of Calcutta
West Bengal
04.2001 -

Master of Technology - Applied Electronics & Instrumentation Engineering

Heritage Institute of Technology
Kolkata, West Bengal
07-2022

Bachelor of Technology - Applied Electronics & Instrumentation Engineering

College of Engineering & Management
Kolaghat, West Bengal
07-2020

Higher Secondary - Science Education

West Bengal Council of Higher Secondary Education
West Bengal
03-2014

Madhyamik Pariksha - General Studies

West Bengal Board of Secondary Education
West Bengal
03-2012

Skills

Programming: Python (Pandas, NumPy, Scikit-learn), MATLAB

Machine Learning & AI: Supervised and Unsupervised Learning, Deep Learning, Predictive Modeling, Optimization Techniques

Data Analysis & Visualization: Power BI (DAX, Power Query), Matplotlib, Excel (Pivot Tables, VLOOKUP, AI-powered Automation)

Database: SQL (PostgreSQL)

Data Techniques: Data Cleaning and Preprocessing, Feature Engineering, Exploratory Data Analysis (EDA)

Analytics: Statistical Analysis, Hypothesis Testing and Experimentation

Tools & Platforms: Jupyter Notebook, Google Colab, BIOPAC Data Acquisition System

Model Development: Model Training , Evaluation and Validation

Domain Expertise: Biomedical Signal Processing ( EEG, ECG, Respiration, PPG, GSR)

Relevant Courseworks

  • Introduction to Machine Learning- IITKGP (NPTEL)
  • Python for Data Analysis
  • SQL
  • Power BI
  • AI-Powered Excel

Certification

Internship on “Accelerating the identification of antimicrobial resistance of human pathogens using artificial intelligence” (SERB Accelerate Vigyan). • Internship on “Accelerating the identification of antimicrobial resistance of human pathogens using artificial intelligence” (SERB Accelerate Vigyan).

Research Publications

Conferences

· S. Barik, S. Pal and G. Paul, “Mental health Correlates of Neural Dynamics During Passive Media Consumption and Resting State: An EEG Study”, IEEE International Conference on Computing, Intelligence and Application (CIACON), 18-19 July, 2025.

· S. Barikand S. Pal, “AI Enabled Stress Monitoring using PPG and GSR”, All India Seminar on Machine Learning and Soft Computing Application in Engineering and Science (MLSE-ES), April 6, 2024.

· S. Barikand S. Pal, “Enhancement of Stress Analysis Performance using Respiration Information”, 2023 IEEE 3rd Applied Signal Processing Conference (ASPCON), Nov. 24, 2023.

· S. Barik& M. Chattopadhyay, “An Evaluation on Global E-waste Management”, 7th International Conference on Microelectronics, Computing & Communication Systems (MCCS), July 10, 2022.

Journals

· S. Barik, V.K. Thakur, M.A. Miah, S. Pal, “Detection of Stress from PPG and GSR Signals using AI Framework”, Journal of The Institution of Engineers (India): Series B, 03 January, 2025. https://doi.org/10.1007/s40031-024-01191-z

· S. Barikand M. Chattopadhyay, “Analysis Empowering Home Safety in Underserved Regions: Introducing a Smart Gas Leakage Management System for Internet-Deprived Remote Area”, International Journal of Microsystems and IoT, Volume 2, Issue 2, pp. 580-585, Feb. 20, 2024.

· S. Barikand M. Chattopadhyay, “In House monitoring and measurement of respiration rate using Disposable Paper Sensor”, Neuroquantology, Volume 20, Issue 9, pp. 2072-2079, Sept. 27, 2022.

Timeline

Junior Research Fellow

Bhaktivedanta Research Center
09.2024 - 08.2025

Ph.D. - Applied Physics (Instrumentation Engineering)

University of Calcutta
04.2001 -

Master of Technology - Applied Electronics & Instrumentation Engineering

Heritage Institute of Technology

Bachelor of Technology - Applied Electronics & Instrumentation Engineering

College of Engineering & Management

Higher Secondary - Science Education

West Bengal Council of Higher Secondary Education

Madhyamik Pariksha - General Studies

West Bengal Board of Secondary Education
Swagata BarikResearch Scholar