プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Dr. Bhawna N.に依頼

India

Ph.D. in AI | AI Consultant & Research Scientist | 50+ AI Projects | 50+ Publications | 2 Patents

プロフィール概要

With 20+ years of experience blending academic research and applied AI, I bring a rare combination of hands-on technical expertise, research excellence, and strategic insight to every project. I hold a Ph.D. in Artificial Intelligence and have successfully delivered 50+ AI projects across industries — including healthcare, psychology, cognitive science, manufacturing, and automotive — for clients in the U.S., U.K., and Canada. Whether it’s training ML models, developing AI-powered solutions, or transforming complex research into publication-ready manuscripts, I ensure precision, performance, and publication-quality outcomes. My work has resulted in 50+ published research papers (SCI/Scopus-indexed) and 2 granted patents, showcasing my ability to turn innovation into impact. 🎯 AI & Research Specializations AI & Machine Learning Development: Computer Vision, NLP, Deep Learning, Predictive Analytics Healthcare AI: Image-based diagnostics, predictive patient analytics, clinical data modeling Cognitive & Behavioral AI: Psychological data modeling, cognitive pattern detection, emotion AI Industrial & Manufacturing AI: Defect detection, process automation, predictive maintenance Data Science & Analytics: Statistical modeling (Python, R), TensorFlow, PyTorch, OpenCV Academic Research & Publication: Dissertation design, data analysis, literature review, journal publications 🧠 Core Technical Expertise Programming: Python, R, TensorFlow, Keras, PyTorch, OpenCV Data Processing: Image/Video preprocessing, Feature extraction, Model optimization AI Platforms: Google Cloud AI, AWS AI, Azure ML Research Tools: NVivo, SPSS, Excel, EndNote, Zotero Statistical Methods: Regression, ANOVA, Correlation, PCA, Neural Networks 📋 Core Services AI Solution Development: End-to-end design, modeling & deployment Dissertation & Thesis Writing: Quantitative, qualitative, and mixed methods Research Proposal & Publication Support: SCI/Scopus-level quality Systematic Literature Reviews: PRISMA-compliant, critical syntheses Data Analysis & Visualization: Python/R analytics with actionable insights Academic Editing: APA, MLA, Harvard, Chicago formatting mastery 💡 Why Clients Choose Me ✅ Ph.D.-Level Expertise: Deep academic and technical proficiency in AI and research ✅ 50+ AI Projects Delivered: Across diverse sectors with 98% client satisfaction rate ✅ 50+ Publications & 2 Patents: Proven record of research excellence ✅ Hands-on Technical Skills: Proficient in training ML models and computer vision systems ✅ Speed with Quality: Delivery within deadlines without compromising precision ✅ Global Experience: Collaborations across the U.S., U.K., and Canada ✅ Guaranteed Originality & Confidentiality: 100% plagiarism-free, secure handling of data 🏆 Client Success Snapshot “Dr. Bhawna transformed our AI prototype into a full-scale predictive model within weeks. Her understanding of both data science and real-world business impact is unmatched.” — AI Lead, Healthcare Startup (U.K.) “Her support during my DBA dissertation was a game changer. She not only guided my research but also ensured my data analysis was robust and publication-ready.” — DBA Scholar, France 🚀 Let’s Build Something Intelligent If you’re looking for a top-tier AI consultant who understands both code and context, I’m the right partner. Share your project brief or research goals, and I’ll create a customized strategy within 24 hours — ensuring your project achieves speed, accuracy, and measurable impact.

専門分野

• ★ Machine Learning
• ★ Artificial Intelligence
• ★ Computer Vision
• ☆ Data Analysis
• ☆ Data Cleaning
• ☆ Deep Learning

サービス

• Writing
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Text Mining & Analytics, Data Processing

Product Development Formulation

職務経験

Institute of Engineering & Technology

2007 - 現在

学歴

Ph.D. in Computer Engineering

devi ahilaya university

2011 - 2017

Master of Engineering (Department of Computer Engineering)

Institute of Engineering & Technology

2006 - 2008

B.E. Computer Engineering

Institute of Engineering & Technology

2000 - 2004

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Nigam, B and Nigam, A and Dalal, P(2017). Comparative Study of Top 10 Algorithms for Association Rule Mining.

(2017). A Novel Web Fraud Detection Technique using Association Rule Mining. Procedia Computer Science. 115. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 274--281. Elsevier

Gangrade, Arpita and Nigam, Bhawna(2015). Securing API Using API Gateway. Networking and Communication Engineering. 7. (4). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 143--146.

Renu, Sharma and Nigam, Bhawna(2015). Advances in Document Classification Using Data Mining. IJSART. 1. (4). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 2395--1052.

Nigam, Bhawna and Tokekar, Sanjiv and Jain, Suresh(2015). Evaluation of models for predicting user's next request in web usage mining. international Journal on Cybernetics & informatics (UCi). 4. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1--13.

(2014). Recommendations for Improving Performance and Usability of Website by Mining Weblogs�. International Journal of Artificial Intelligence and Knowledge Discovery. 4. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1--6. http://rgjournals.com/index.php/ijai/article/view/478

Nigam, Bhawna(2014). Jyoti Haweliya.

Haweliya, Jyoti and Nigam, Bhawna(2014). Network intrusion detection using semi supervised support vector machine. International Journal of Computer Applications. 85. (9). Foundation of Computer Science

Haweliya, J and Sharma, M and Nigam, B(2014). A Study of Tools & Techniques of Web Usage Mining. Data Mining and Knowledge Engineering. 6. (9). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 367--372.

Nigam, Bhawna and Tokekar, Sanjiv and Jain, Suresh(2013). Predicting the next accessed web page using Markov model and pageRank. International Journal of Data Mining and Emerging Technologies. 3. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 73--80. IndianJournals. com

Nigam, Ayan and Arya, Neeraj and Nigam, Bhawna and Jain, Deepika(2012). Tool for automatic discovery of ambiguity in requirements. International Journal of Computer Science Issues (IJCSI). 9. (5). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 350. International Journal of Computer Science Issues (IJCSI)

Nigam, Ayan and Nigam, Bhawna and Vatsa, Devendra Kumar(2012). Generating all Navigational Test Cases using Cyclomatic Complexity from Design Documents for Mobile Application. International Journal of Computer Applications (0975--8887) Volume.

Nigam, Bhawna and Jain, Suresh and Tokekar, Sanjiv(2012). Mining association rules from web logs by incorporating structural knowledge of website. International journal of computer applications. 42. (11). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 17--23. International Journal of Computer Applications, 244 5 th Avenue,\# 1526, New York, NY 10001, USA India

Nigam, Ayan and Arya, Neeraj and Nigam, Bhawna and Jain, Deepika(2012). Tool for Automatic Discovery of Ambiguity in Requirements Tool for Automatic Discovery of Ambiguity in Requirements.

Jain, Rishabh and Pandey, Aprajita and Duraphe, Pramod and Nigam, Bhawna and Jain, Suresh(2012). Performance evaluation of PSVM using various combination of kernel function for intrusion detection system. International Journal of Modeling and Optimization. 2. (5). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 613. IACSIT Press

Nigam, Bhawna and Ahirwal, Poorvi and Salve, Sonal and Vamney, Swati(2011). Document classification using expectation maximization with semi supervised learning. arXiv preprint arXiv:1112.2028.

Nigam, Bhawna and Dalal, PreetiPERFORMANCE EVALUATION OF ASSOCIATION RULE MINING ALGORITHMS.

CONFERENCE PAPER

Nigam, Ayan and Nigam, Bhawna and Bhaisare, Chayan and Arya, Neeraj(2012). Classifying the bugs using multi-class semi supervised support vector machine. Pattern Recognition, Informatics and Medical Engineering (PRIME), 2012 International Conference on. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 393--397.

Joshi, Shweta and Nigam, Bhawna(2011). Categorizing the document using multi class classification in data mining. Computational Intelligence and Communication Networks (CICN), 2011 International Conference on. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 251--255.

(2010). Generating a new model for predicting the next accessed web page in web usage mining. Emerging Trends in Engineering and Technology (ICETET), 2010 3rd International Conference on. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 485--490.

Nigam, Bhawna and Jain, Suresh(2010). Analysis of Markov model on different web Prefetching and caching schemes. Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1--6.