Asha Rajendran

To acquire a challenging position and to hold a data analyst, data scientist position; bringing luminous analytical skills to help company and clients achieve their goals.

• Attended National Seminar on Knowledge Discovery In Biomedical Informatics using Cloud Computing during 26/11/15-27/11/15(DBT Sponsored).
• Symposium on Genetics, Genomics, ProteomicsApplications in Clinical Research during 22/08/16
• Attended Workshop on Sequence Analysis and Molecular Simulation during 20/01/16-23/01/16
• Symposium on Recent Trends in Structural Bioinformatics and Computer Aided Drug Design during 16/02/16-19/02/16
• Attended workshop on Applications of Bioinformatics in Animal Sciences during 22/05/17-31/05/17
• Attended National Seminar on Computer Genomics Tools for Next-Generation Sequencing and Biomedical Data Analysis during 08/02/19

• Ability to work in groups as well as individually.
• Ability to adapt to any new environment.
• High patience level, self-confidence and hard working

• International Conferences
• 1. 2015 IEEE International Conference on Advanced Computing and Communication Systems N/W. ICACCS 2015. Conducted by IEEE , Title “Diabetic retinal exudates detection using machine learning techniques”, ISBN 10.1109/ICACCS.2015.7324057, Pg No:
• 2. First International Conference on Smart Computing and Informatics(SCI), Vishakapatnam, SPRINGER(SIST) Series, Scopus Indexed, Mar 3-4, 2017, Smart Innovation, Systems and Technologies, volume 1, Title “Predicting Binding Affinity based on Docking Measures for Spinocerebellar Ataxia- A Study”. ISSN: 2190-3018, pg no:33-43.
• 3. Second International Conference on Smart Trends for Information Technology and Computer Communications (SMARTCOM), Pune, SPRINGER(CCIS) Series, SCOPUS Indexed, Title “Binding Affinity Prediction Models for Spinocerebellar Ataxia using Supervised Learning”, Aug 18-19, 2017
• 4. Second International Conference on Integrated Intelligent Computing, Communication and Security(ICICC-2018), SJB Institute of Technology, Springer, Scopus Indexed, Bangalore, Karnataka, India, 24 & 25 January 2018, Title “Support Vector Regression for Predicting Binding Affinity in Spinocerebellar Ataxia”.
• International Journals
• 1. Asha P.R., Karpagavalli S. (2015) Diabetic Retinal Exudates Detection Using Extreme Learning Machine. In: Satapathy S., Govardhan A., Raju K., Mandal J. (eds) Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India CSI Volume 2. Advances in Intelligent Systems and Computing, vol 338. Springer, Cham.
• 2. Asha P. R, Vijaya M S, (2019), Deep Neural Networks for Affinity Prediction of Spinocerebellar Ataxia using Protein Structures published in Journal of Advanced Research in Dynamical Control Systems, vol 11, Special issue 4, pg no 296-306
• 3. Asha P. R, Vijaya M S, (2019), Binding Affinity Regression Models from Repeats Mutation in Polyglutamine Disease Published in International Journal of Recent Technology and Engineering, Vol 8, Issue 2, Pg no 3642-3648
• 4. Asha P. R, Vijaya M S, (2019), Affinity Prediction of Spinocerebellar Ataxia using Protein-Ligand and Protein-Protein Interaction with Functional Model of Deep Learning, International Journal of Engineering and Advanced Technology, Vol 8, Issue 5, Pg no 858-865
• 5. Asha P. R, Vijaya M S, (2019), Affinity Prediction of Spinocerebellar Ataxia using Protein-Protein Interactions and Deep Neural Network with User-Defined Layer, International Journal of Advanced Science and Technology, Vol 28, Issue 13, Pg no 20-37
• 6. Asha P. R, Vijaya M S, (2020), Affinity Prediction Models from Protein-Protein Interaction of SCA using Ensemble Learning, International Journal of Control and Automation, Vol 13, Issue 4, Pg no 707-717
• 7. Asha P. R, Vijaya M S, (2020), Binding Affinity Predictions by Representation Learning of Various Docked Complexes in Spinocerebellar Ataxia, Test Engineering and Management, Vol 83, Pg no 22571-22583
• 8. Asha P. R, Vijaya M S, (2020), Binding Affinity Prediction of SCA using PLD and PMLD with Functional DNN and its Variants, International Journal of Scientific and Technology Research, Vol 9, Issue 6, Pg no. 382-388