fbpx

Logo

NJMCDirect helps to pay a traffic ticket online on http://www.njmcdirect.com. If you are a road user who owns a vehicle and violate traffic laws or parking rules, law enforcement officials of New Jersey municipal court issue the NJ parking or traffic tickets.

THE SEAT OF
KNOWLEDGE
THE HEART OF
TRANSFORMATION

Information Systems and Analytics

Pradeep Kumar Dadabada

Assistant Professor Ph.D, IDRBT,University of Hyderabad

Scopus Profile

LinkedIn Profile

Contact:

Email :pkd@iimshillong.ac.in

Office Ph.: +91 364 2308027

Research Interests/ Areas

Data Science, Financial Analytics, Sustainability, Optimization, Time series Prediction

Teaching Interest / Areas

Information Systems & Analytics

  • Ph.D. (CS), Institute for Development and Research in Banking Technology (IDRBT), Hyderabad, Telangana /University of Hyderabad, Hyderabad, Telangana,2018
  • M.Tech (CSE), RVR&JC College of Engineering, Guntur, Andhra Pradesh /Acharya Nagarjuna University, Guntur, Andhra Pradesh,2008
  • M.C.A, College of Science, GITAM, Visakha Patnam , Andhra Pradesh/Andhra Univesrity, Andhra Pradesh,2005
  • Sr. Data Scientist, Innominds Software SEZ Pvt. Ltd, Hyderabad during April 2018 – May 2019.
  • Senior ML Scientist, Phenom People Pvt. Ltd., Hyderabad during October 2017 – November 2017
  • Research Scientist- Data Science, FinMee Technologies (Ntwist) Pvt. Ltd., Hyderabad during February 2017 – June 2017
  • Research Fellow, Institute for Development and Research in Banking Technology, Hyderabad during January 2012 – January 2017
  • Lecturer, R.V.R.& J.C. College of Engineering (autonomous), Chowdavaram, Guntur during August 2008 – January 2012

Research Interests

  • Data/Business Analytics, Time Series Forecasting, Machine Learning, Evolutionary Computation, Deep Learning, Natural Language Processing, Computer Vision.

Ph.D. Thesis title

  • Financial Time Series Prediction using Soft Computing Hybrids

Journals

  • Pradeepkumar, D. and Ravi, V.,” Forecasting Financial time series volatility using Particle Swarm Optimization trained Quantile Regression Neural Network”, Applied Soft Computing, Elsevier (IF=3.907), Vol. 58, 2017, pp. 35-52. http://www.sciencedirect.com/science/article/pii/S1568494617301862 (Indexed by Scopus/SCIE), ABDC-C (2019 ratings)
  • Ravi, V., Pradeepkumar, D., and Deb, K.,”Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms” Swarm and Evolutionary Computation, Elsevier (IF=3.818), Vol. 36, 2017, pp. 136-149. (Indexed by Scopus/SCIE)http://www.sciencedirect.com/science/article/pii/S2210650217300822
  • Pradeepkumar, D. and Ravi, V.,”Soft Computing Hybrids for FOREX Rate Prediction: A Comprehensive Review”, Computers and Operations Research, Elsevier (IF=2.962), Vol. 99, 2018, pp. 262-284. https://www.sciencedirect.com/science/article/pii/S0305054818301436 (Indexed by Scopus/SCIE), ABDC-A (2019 ratings)
  • Pradeepkumar, D. and Ravi, V.,” Financial Time Series Prediction: an approach using Motif information and Neural Networks “, International Journal of Data Science, Inderscience, (Article in Press)

Conference papers

  • Pradeepkumar, D. and Ravi, V.,”FOREX Rate Prediction using Chaos, Neural Network and Particle Swarm Optimization” ICSI-2014, Hefei, China, Part II, LNCS 8795, 363{375, 2014. (Indexed by EI, ISTP, DBLP, ISI and Springerlink) https://link.springer.com/chapter/10.1007/978-3-319-11897-0_42 .
  • Pradeepkumar, D., Bhunwal, M., and Ravi, V.,”A Novel Hybrid Algorithm for discovering motifs from _nancial time series”, SEMCCO-2014, Odisha, India, LNCS 8947, 201{211, 2015.(Indexed by SCOPUS, DBLP, ACM Digital Library and Springerlink) https://link.springer.com/chapter/10.1007/978-3-319-20294-5_18
  • Pradeepkumar, D. and Ravi, V.,”FOREX Rate Prediction using Chaos Theory and Quantile Regression Random Forest” Proceedings of the 3rd IEEE International Conference on Recent Advances in Information Technology, RAIT-2016, 3-5 March 2016, Dhanbad, India, pp. 517-522, 2016. (Indexed by DBLP, and IEEE Explore). http://ieeexplore.ieee.org/document/7507954/
  • Pradeepkumar, D. and Ravi, V.,”FOREX Rate Prediction: a hybrid approach using Chaos Theory and Multivariate Adaptive Regression Splines” Proceedings of the 5th International Conference on Frontiers in Intelligent Computing Theory & Applications, FICTA-2016, 16-17 September 2016, Bhubaneswar, India, AISC 515, Springer, pp. 219-227 (Indexed by ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink). https://link.springer.com/chapter/10.1007/978-981-10-3153-3_22
  • Trained nearly 50+ aspiring data scientists at institutes such as Imarticus Learning and Silicon Guru, Hyderabad.
  • Trained various bank managers and various levels of bank employees in customized programs in CRM & Analytics at IDRBT, Hyderabad.
  • Recognized as one of “The Top 10 most prominent data analytics and data science academicians 2019” by Analytics Magazine India
  • MHRD Fellowship for conducting research at IDRBT from January 2012- January 2017
  • UGC-NET (Lectureship) in December 2012
  • Best Active participant in MATLAB Workshop conducted by NITW in Aug 2013
  • AICTE fellowship for pursuing M.Tech (CSE) from August 2006- May 2008