Nikam, P., Bhoite, S. and Shenoy, A., 2020. Neo4j graph database implementation for LinkedIn. Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, 1, pp.339-342.

1. Bhoite, S., Patil, C.H., Thatte, S., Magar, V.J. and Nikam, P., 2023, January. A data-driven probabilistic machine learning study for placement prediction. In 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT) (pp. 402-408). IEEE.                                         

2.Bhoite, S., Nikam, P. and More, A., 2022. Predictive analytics of engineering and technology admissions. In Computational Intelligence in Data Mining: Proceedings of ICCIDM 2021 (pp. 419-431). Singapore: Springer Nature Singapore.                                                           

3.Bhoite, S., Kanade, A., Nikam, P. and Sonawane, D., 2022, April. Predictive analytics model of an engineering and technology campus placement. In Proceeding of International Conference on Computational Science and Applications: ICCSA 2021 (pp. 267-276). Singapore: Springer Nature Singapore.