Around 2 years as an Assistant Professor and around 6 plus years of experience as a Data scientist, Human Resource Executive, Artificial Intelligence, Machine Learning.

• Worked as an Assistant Professor and used to teach Operating Systems, Cloud Computing and Matlab.

• Experienced in the Hadoop ecosystem components like Hadoop Map Reduce, Cloudera, HBase, Oozie, Hive, Sqoop, Pig, and Flume.

• Having good understanding of complete ERP implementation of SAP HR (ECC 6.0) which includes creation of Enterprise Structure, Organization Management, Personnel Administration, Recruitment, Benefits, Time Management and Payroll Management.

• Strong leadership, negotiation, problem solving, and team building skills as well as confident recruiting techniques.

• Machine Learning & Deep Learning
• Cloud Computing 
• Big Data & Data Science

Publications 

Journals:

• Upadhyay, D.K., and Sinha, K., (2024). Enhancing Academic Integrity: An Analysis of Advanced Techniques for Plagiarism Detection using LESK, Word Sense Disambiguation, and SVM. International Journal of Experimental Research and Review, 39(spl.) 92-108. DOI: https://doi.org/10.52756/ijerr.2024.v39spl.007.

• Upadhyay, D.K., Mohapatra, S. & Singh, N.K. (2023). An early assessment of Persistent Depression Disorder using machine learning algorithm. Multimedia Tools Applications. https://doi.org/10.1007/s11042-023-17369-4

• Upadhyay, D.K., Mohapatra, S., & Singh, N.K. (July 2023), “Heterogeneous Bootstrapped Ensemble Model for an Early Assessment of MDD.” Journal of Harbin Engineering University (ISSN: 1006-7043), Volume: 44, Issue 8. Available at: https://harbinengineeringjournal.com/index.php/journal/article/view/820 

• Sagar, S., and Upadhyay, D. K. (2023), “An empirical study on the insurance consumer behavior towards UPI platforms in emergency”, Resonance (ISSN:2320-7116) Volume 11.1 January, 2023.  

• Roy, S., Upadhyay, D. K., and Sharma, S. K. (2021), “Optimization of Enhanced Link Quality for Ad-Hoc Networks”, Webology, Volume 18, No. 6, 2021, pp. 342-349. Available at: 20220213092130pmwebology 18 (6) - 81 pdf. 

Conference:

• Upadhyay, D.K., Mohapatra, S., & Singh, N.K. (July 2023), “Assessment of Generalized Anxiety Disorder and Mood Disorder in Undergraduate Students During the Coronavirus Disease (COVID-19) Pandemic.” Computational Intelligence in Analytics and Information Systems (CIAIS) Volume: Volume 1: eBook ISBN9781003332312, Page no.183.
• Upadhyay, D.K., Mohapatra, S., Singh, N.K., & Kumar Bakhla, A. (2021). Stacked SVM model for Dysthymia prediction in undergraduates students. 2021 8th International Conference on Signal Processing and Integrated Networks (SPIN), 1148-1153.
• Upadhyay, D.K., Mohapatra, S., & Singh, N.K. (December 2023), “An Early Assessment of Subjective Well-Being in an Undergraduate by Using Heterogeneous Stacked Ensemble” International Conference on Machine Intelligence with Applications (ICMIA2023).

Book Chapters:

• Sagar, S. & Upadhyay, D. K. (2024). Electric Vehicles in India and Customer Perception: The Moderating Effect of Government Regulations on EVs. In B. Holland & K. Sinha (Eds.), Multidisciplinary Approach to Information Technology in Library and Information Science (pp. 169-191). IGI Global. https://doi.org/10.4018/979-8-3693-2841-5.ch010
• Narayan, R., Sinha, K., & Upadhyay, D. K. (2022). An Analysis and Detection of Misleading Information on social media Using Machine Learning Techniques. In F. Özsungur (Ed.), Handbook of Research on Cyber Approaches to Public Administration and Social Policy (pp. 520-541). IGI Global. https://doi.org/10.4018/978-1-6684-3380-5.ch022.
• Sinha, K., Paul, P., Sinha, M., Upadhyay, D. K., & Kumari, R. (2022). Right to Correct Information in the Cyber World. In F. Özsungur (Ed.), Handbook of Research on Cyber Approaches to Public Administration and Social Policy (pp. 563-582). IGI Global. https://doi.org/10.4018/978-1-6684-3380-5.ch024.