Profile Details

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Hire Dr. Bhawna N.

India

USD 80 /hr

Data Scientist | Machine Learning | Computer Vision | Python | Research writing | AI Consultant

Profile Summary

Experienced in Data Science, Machine Learning, Computer Vision, Predictive Modelling, Research writing. 30 + publication in applied Machine learning, AI to solve problems related to Fraud Detection, Network Intrusion Detection, Predicting Web User Navigation Behavior, Bug Classification, Document Classification, Churn Prediction worked in Healthcare, Retail, Banking, Insurance verticals. Provides hands-on-workshops and corporate training for startups, enterprises.

Subject Matter Expertise

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

Services

• Writing
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Algorithm Design-Non ML

Product Development Formulation

Work Experience

Institute of Engineering & Technology

2007 - Present

Education

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

Certifications

• Certification details not provided.

Publications

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. p. 274--281. Elsevier

Gangrade, Arpita and Nigam, Bhawna(2015). Securing API Using API Gateway. Networking and Communication Engineering. 7. (4). p. 143--146.

Renu, Sharma and Nigam, Bhawna(2015). Advances in Document Classification Using Data Mining. IJSART. 1. (4). p. 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. p. 1--13.

(2014). Recommendations for Improving Performance and Usability of Website by Mining Weblogs�. International Journal of Artificial Intelligence and Knowledge Discovery. 4. (1). p. 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). p. 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). p. 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). p. 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). p. 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). p. 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. p. 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. p. 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. p. 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. p. 1--6.