Research Experience  

Doctoral Researcher2016 – 2018
School of Computational Sciences, Swami Ramanand Teerth Marathwada University, Nanded (MH) 
  • Collected and curated dataset of agricultural and crop management used to make predictions.
  • Performed comparative analysis of supervised machine learning algorithms for Prediction of Crop Selection.
Research Assistant2013 – 2018
School of Computational Sciences, Swami Ramanand Teerth Marathwada University, Nanded (MH) 
  • Assistant to Professor Nilesh Deshmukh, conducting primary and secondary source research on the following projects.
  1. Novel Scheme  for  target  marketing  by  study  customer  behavior  pattern  using  data
  2. Machine Learning and GIS-Based DSS for Identification of Artificial Water Recharge site.
  3. Spatial Pattern for Urban Greenery Space Planning
  4. Operational Analysis of Crime hot spot using Data mining and GIS.

List of Publications

  1. Tamsekar, P., et.al, (2018). Comparative Analysis of Supervised Machine Learning Algorithms for GIS-Based Crop Selection Prediction Model. In Computing and Network Sustainability (pp. 309-314). Springer, Singapore.
  2. Tamsekar, P., et.al, (2018). Architectural Outline of GIS-Based Decision Support System for Crop Selection. In Smart Computing and Informatics (pp. 155-162). Springer, Singapore. ISBN 978-981-10-5543-0
  3. Tamsekar, P., et.al, (2017). Architectural Outline of Decision Support System for Crop Selection Using GIS and DM Techniques. In Computing and Network Sustainability (pp. 101-108). Springer, Singapore. ISBN 978-981-10-3934-8
  4. Tamsekar, P., et.al, (2015). GIS Based Decision Support System for Crop Selection, International Journal Of Computer Research and Technology , Vol-1, Issue-2, Dec 2015 , ISBN:2454-7719
  5. Husen S., Tamsekar, P., et.al, (2018) Effective use of GIS Based DSS for Identification of Artificial Water Recharge site. ISBN:978-93-5254-640-5
  6. Husen, S., Tamsekar, P., et.al, (2018). Proliferation of Methods for Artificial Water Recharge Sites Using GIS. International Journal of Scientific Research in Computer Science and Engineering, 06(01), 23-27.
  7. Kulkarni, G., Tamsekar, P., et.al, (2017). Effective use of GIS based spatial pattern technology for urban greenery space planning: a case study for Ganesh Nagar area of Nanded city. In Proceedings of 2nd international conference on intelligent computing and applications (pp. 123-132). Springer, Singapore.
  8. Kulkarni, G., Tamsekar, P., et.al, (2017). Effective use of GIS based Spatial Pattern Technology for Urban Greenery Space Planning: A Case Study for MIDC Area of Nanded City. International Journal of Engineering Research & Technology (IJERT ). ISBN 975935254498
  9. Vijendra, K., Tamsekar, P., et.al, (2017). Operational Analysis of Robbery and Attempt to Murder Cases using GIS: A Case Study of Nanded City pp. 118-125, The Indian Police Journal Vol.64 Issue 1 Jan-March-2017, ISSN 0537-2429
  10. Wasnik, P., Tamsekar, P., et.al, (2016, December). DSS for Prognostication of Academic Intervention by Applying DM Technique. In International Conference on Recent Trends in Image Processing and Pattern Recognition (pp. 194-201). Springer, Singapore.
  11. Kailas, H., Tamsekar, P., et.al, (2015). A Prototype Note for Location Based Services In Agriculture Using GIS, International Journal Of Computer Research and Technology, , Vol-1, Issue-2, Dec 2015 , ISSN:2454-7719
  12. Vijendra, K., Tamsekar, P., et.al (2014). Crime Prevention Using GIS: A Case Study.  ICT and Higher Education, ISBN 978-93-83389-77-3
  13. Santosh, K., Tamsekar, P., et.al (2014). Overview of GIS and Their Interdisciplinary Approach in Different Area.  ICT and Higher Education, ISBN 978-93-83389-77-3