Dr. Bhuvanesh Kumar Sharma
Assistant Professor, Marketing
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Dr. Gayathri Nagarajan
Data Science Consultant & AI/ML/GenAI Mentor, Data Science · Independent Data Science Consultant, Germany · Frankfurt
IMPARC ID IMP-MM-TECH-HE-DE-2026-2445
Member since 2026
Expertise
- Artificial Intelligence
- Big Data Analytics
- Biomedical Engineering
- Data Mining
- Data Visualization
- Database Management
- Deep Learning
- Machine Learning
- Neural Networks
- Data Analysis
- Software Engineering
- Data Science
Mentorship offered
- Digital Strategy Consulting
- Scientific and Technical Consulting
- Data Processing
- Big Data Analytics
- Statistical Analysis
- Data Visualization
- Data Mining
- Algorithm Design ? ML (Machine Learning)
- Predictive Modeling
- Data Cleaning
- Data Insights
- Text Mining & Analytics
- Gap Analysis
- Scientific and Technical Research
- Secondary Data Collection
- Feasibility Study
- Technical Writing
Mode: Hybrid · Capacity: More than 5 researchers
IMPARC never shows members’ e-mail or phone. Messages go through IMPARC and are forwarded to the member.
About
Dr. Gayathri Nagarajan is an accomplished Data Scientist, AI Consultant, Researcher, Mentor, and Educator with over 18 years of experience spanning academia, industrial software development, artificial intelligence, machine learning, biomedical analytics, and corporate consulting. She holds a Ph.D. in Machine Learning from VIT University and has published multiple high-impact Scopus-indexed research papers with Elsevier and Springer. Her expertise spans predictive analytics, healthcare data analytics, machine learning optimization, deep learning, NLP, Generative AI, data visualization, and AI consulting. She is an active mentor, technical interview panel member, guest lecturer, and founder of the initiative "Datasciencemadeeasy" aimed at advancing AI and data science education globally.
Publications 3
Journal articles
- Gayathri Nagarajan, et al. (2021). Missing Data Imputation on Health Big Data Using Deeply Learned Clustering and L2 Regularized Regression Based on Symmetric Uncertainty. Artificial Intelligence in Medicine (Elsevier).Scopus
Books
- (2013). Practical Concepts of Database Management System. Surya Infotainment Publisher.ISBNAvailable with Publisher
Conference papers
- (2020). Feature Engineering by a Brain-Computer Progressively Interactive Simulated Annealing on Random Forest for Health Data Analytics. International Conference on Intelligent Computing and Communication (ICICC 2020), Springer Conference Series.Scopus
Experience
-
Data Science Consultant
Independent Consultant, Germany
September 2021 - Present (current)
Education
-
2016 - 2021
Ph.D., Machine Learning
Vellore Institute of Technology (VIT), India
Supervision & projects
- Completed
Thesis · Effective Techniques to Improve the Performance of Predictive Models in Biomedical Data Analytics
2021
- Completed
Dissertation · Biomedical Data Analytics using Machine Learning
VIT University · 2021
- Completed
Funded project · Biomedical Data Analytics using Predictive Models
VIT University Research Program · Researcher · 2016-2021
Awards
-
Best Researcher in Data Analytics
Rula Academy · 2020
Events & training
- Completed
Professional Certification · edX / Microsoft
Programming with Python for Data Science
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