Candidate's About
I am an AI and machine learning expert with 8 years of research experience in data mining and machine learning. I have hands-on experience in machine learning, computer vision, and NLP-based real-life projects. I also have working experience with Python libraries, data visualization, data science and statistics, deep learning tools, and statistical models.
Work & Experience
AAssociate Professor in the CSE Department
Mar 21 - PRESENT
- Handle industry-scaled projects based on machine learning
- Serve as the secretary of the Artificial Intelligence and Data Science department
- Handle courses in machine learning, Python programming, statistics, and natural language processing
AAssociate Professor in the CSE Department
Apr 20 - Feb 21
- Handled major core courses in the CSE department
- Hands-on experience conducting computer workshops and teaching Linux commands and C and C++ fundamentals
- Assisted students in understanding skilling subjects with classification and clustering concepts
- Helped students complete major projects
AAssociate Professor in the CSE Department
Mar 19 - Mar 20
- C programming, Data Mining, Object Oriented Programming.
AAssistant Professor
Jul 11 - Jun 19
- Handled business information and database management system
Education
VDoctor of Philosophy
Visveswaraya National Institute of Technology Nagpur2014 - 2019
MBachelor of Engineering
M. P. Christian College of Engineering and Technology,2005 - 2009
NMaster of Technology
National Institute of Technology2011 - 2013
Certificates
D5 Data Science Projects
Data Science Bootcamp 2022 25 Machine Learning Projects
2022 Machine Learning A To Z SPractical Machine Learning
Scikit-Learn Achievements
- Swati Hira, Anita Bai, Sanchit Hira, “An automatic approach based on CNN architecture to detect
Covid-19 disease from Chest X-ray images”, Applied Intelligence, pp. 2864-2889, 2020.
- Vishali Sivalenka and Anita Bai, “A Survey on Prognostication of Breast Cancer Utilizing Machine
Learning Algorithms”, Solid State Technology, pp. 6990-6999, 2020.
- Swati Hira, Anita Bai, “A Novel Map Reduced Based Parallel Feature Selection and Extreme
Learning for Micro Array Cancer Data Classification”, Wireless Personal Communications, 123,
1483–1505 (2022).
- Anita Bai, Meera Dhabu, Viraj Jagtap, Parag S Deshpande, “An efficient approach based on selective
partitioning for maximal frequent itemsets mining”, Sadhana, 2019.
- S Pathan, M Bhushan, Anita Bai, “A Study on Health Care using Data Mining Techniques”, Journal
of Critical review, pp. 7877-7890, 2020.
- Anita Bai, Swati Hira, “Estimating the Similarities of G7 Countries using Economic Parameters”, 3rd International Conference on Information System Design and Intelligent Applications, Advances in Intelligent Systems and Computing, Visakhapatnam, pp. 59-67, Jan 08-09, 2016.
- Anita Bai, Swati Hira, “An intelligent hybrid deep belief network model for predicting students
employability”, Soft Computing, Vol. 25, pp. 9241-9254, 2021.
- Anita Bai, Swati Hira, “Microarray Cancer Classification using Feature Extraction based Ensemble
Learning Method”, International Journal of Data Analysis Techniques and Strategies, 2021.
- Anita Bai, Swati Hira, Parag S Deshpande, “Recurrence based Similarity Identification of Climate
Data”, Discrete Dynamics in Nature and Society, 2017.
- Anita Bai, Parag S Deshpande, Meera Dhabu, “Selective Database Projections Based Approach for
Mining High-Utility Itemsets”, IEEE Access, pp. 14389-14409, 2018.
- R Delshi Howsalya Devi, Anita Bai, N Nagarajan, “A novel hybrid approach for diagnosing diabetes
mellitus using farthest first and support vector machine algorithms”, Obesity Medicine, pp. 1-9, 2020.
- Anita Bai, Swati Hira, Parag S Deshpande, “An Application of Factor Analysis in the Evaluation of
Country Economic Rank”, Procedia Computer Science, pp. 311-317, 2015.
- Thoutireddy Shilpa, Anita Bai, “A Review on Cardiovascular Disease Detection using Machine
Learning Algorithms”, Solid State Technology, pp. 8754-8768, 2020.
- R Madana Mohana, R Delshi Howsalya Devi, Anita Bai, “Lung Cancer Detection using Nearest
Neighbour Classifier”, International Journal of Recent Technology and Engineering, pp. 3641-3645,
2019.