Dr. Bhuvanesh Kumar Sharma
Assistant Professor, Marketing
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Dr. Mitali Shewale
AI Scientist, Data Science · Birdi Systems Inc., Mumbai, India · Mumbai
IMPARC ID IMP-MM-TECH-MH-IN-2026-2444
Member since 2026
Expertise
- Artificial Intelligence
- Big Data Analytics
- Computer Vision
- Data Visualization
- Deep Learning
- Internet of Things
- Machine Learning
- Natural Language Processing
- Predictive Modeling & Analytics
- Data Analysis
- Embedded Systems
- Data Science
- Business Intelligence
Mentorship offered
- Product Evaluation
- Concept Development
- Image Analysis
- Data Processing
- Big Data Analytics
- Image Processing
- Statistical Analysis
- Data Visualization
- Algorithm Design ? ML (Machine Learning)
- Predictive Modeling
- Data Cleaning
- Data Insights
- Text Mining & Analytics
- Gap Analysis
- Scientific and Technical Research
- Feasibility Study
- General Proofreading & Editing
- Technical Writing
Mode: Hybrid · Capacity: More than 5 researchers
Academic links
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About
Dr. Mitali Shewale is an accomplished AI Scientist, Data Scientist, researcher, and academician with expertise in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Agentic AI, Data Analytics, Computer Vision, and Predictive Modeling. A Gold Medalist in both Ph.D. (Artificial Intelligence) and M.Tech. (Embedded Systems), she has extensive experience in academia, research, and industry. Her work focuses on intelligent systems, predictive analytics, image-based disease detection, sentiment analysis, healthcare AI, agricultural AI, and business intelligence solutions. She has authored 30 book chapters, edited 10 books, published 10 research papers, and possesses strong expertise in Python, R, SQL, TensorFlow, PyTorch, Tableau, and Power BI.
Publications 4
Journal articles
- Dr. Mitali Shewale et al. (2024). A Novel Deep Learning Optimized Algorithm for Early Disease Detection, Classification and Diagnosis of Tomato Plant Leaves Using Image-Based Analysis. International Journal of Artificial Intelligence and Agricultural Informatics.Scopus
Books
- (2024). Artificial Intelligence Applications in Modern Computing. Academic Publisher.ISBNAvailable with Publisher
Book chapters
- (2024). Deep Learning Approaches for Disease Detection. In Artificial Intelligence in Agriculture. International Academic Publisher.
Conference papers
- (2024). Deep Learning Optimized Disease Detection in Tomato Plant Leaves. International Conference on Artificial Intelligence and Smart Systems, International Research Forum.Scopus
Experience
-
AI Scientist
Birdi Systems Inc., Mumbai
March 2026 - Present (current)
Education
-
2019 - 2024 Gold Medalist
Ph.D., Artificial Intelligence
Veermata Jijabai Technological Institute (VJTI), Mumbai
Supervision & projects
- Completed
Thesis · AI-Based Disease Detection and Classification System
2024
- Completed
Dissertation · Novel Deep Learning Optimized Algorithm for Early Disease Detection of Tomato Leaves
VJTI Mumbai · 2024
- Completed
Funded project · AI-Based Disease Detection and Diagnosis of Tomato Plant Leaves
Academic Research Initiative · Principal Researcher · 2019-2024
Awards
-
Ph.D. Gold Medalist
VJTI Mumbai · 2024
Events & training
- Completed
Certification Program · Professional AI Training Institute
Applied AI and Agentic AI
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