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Associate Professor in the CSE Department

  • Hyderabad, TG
  • 14 years

Available From: Available

    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


    Associate Professor in the CSE Department

    CVR College
    Mar 21 - PRESENT


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      Machine Learning
    • 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

    Associate Professor in the CSE Department

    K L University Hyderabad
    Apr 20 - Feb 21


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    • 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

    Associate Professor in the CSE Department

    Bharat Institute of Engineering
    Mar 19 - Mar 20
    • C programming, Data Mining, Object Oriented Programming.

    Assistant Professor

    Visvesvaraya National Institute of Technology (VNIT)
    Jul 11 - Jun 19
    • Handled business information and database management system


    National Institute of Technology (NIT)
    Aug 10 - May 11


    Ashoka Institute of Technology & Management
    Jun 09 - Jul 10



    Doctor of Philosophy

    Visveswaraya National Institute of Technology Nagpur
    2014 - 2019

    Bachelor of Engineering

    M. P. Christian College of Engineering and Technology,
    2005 - 2009

    Master of Technology

    National Institute of Technology
    2011 - 2013



    5 Data Science Projects

    Data Science Bootcamp 2022

    5 Machine Learning Projects

    2022 Machine Learning A To Z

    Practical Machine Learning



    • 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.