Dr Suriya Begum
- Online Facilitator
- Faculty of Engineering and Technology
Biography
Dr Suriya Begum is a Professor and Data Scientist at NIIT with 25 plus years of experience, and manages the Data Science & Machine Learning team, and is actively engaged in the content development of various domains & delivers the technical sessions. Highly skilled in Data Visualization and Machine Learning (ML). She holds a PhD in High Performance Computing from Visveswaraya Technological University, India. Dr Suriya brings extensive teaching experience, having delivered specialized data science and cloud computing courses across various technical schools (both National and International). Her research interests include Data Science, Data Analytics, Big Data, Business Analytics, Cloud Computing, Machine Learning, Artificial Intelligence, Prompt Engineering, and technological innovation in data science and cloud computing systems. Her interdisciplinary work bridges theory and practice, with impact in both Indian and international contexts.
Academic & Professional Qualifications
- PhD in High Performance Computing, Visveswaraya Technological University, India, 2019
- M.Phil in Computer Science and Engineering, Prist University, India, 2011
- Master鈥檚 in Computer Science and Engineering, Allahabad University, India, 2007
- Bachelor鈥檚 in Computer Science and Engineering, Bangalore University, India, 1995
Research Interests
- Data science
- Data Analytics
- Big data
- Business Analytics
- Cloud Computing
- Machine Learning
- Artificial Intelligence
- Prompt Engineering
Teaching Areas
- Data Science
- Data Analytics
- Machine Learning / NLP
- Python / R / C
- MySQL
- Tableau / Power BI / Excel
- High Performance Computing
- AI Tools
Courses Taught
- Data Science Project A
- Data Science Project B
Notable Publications
- Book on 鈥淟oad Balancing Algorithms in Cloud Computing Systems,鈥 Dr Suriya Begum, ISBN 13: 978-620-3-92505-0, 17-6-2021.
- Book Chapter on "Emerging Issues in Business Research", ("A Detailed Study of Insurance Cost Prediction by Machine Learning Technique"), Dr Suriya Begum, ISBN 978-93-90728-48-0.
- Book Chapter on "Intelligent Sustainable Systems", (ch.18 "A Detailed Study for Bankruptcy Prediction by Machine Learning Technique"), Dr Suriya Begum, ISBN 978-981-16-6368-0, Springer Nature. , 2021.
- Book Chapter on "Computational Intelligence for Modern Business Systems", "House Price Prediction by Machine Learning Technique- An Empirical Study", Springer, November 2023
- Suriya Begum, Farooq Ahmed Siddique, Rajesh Tiwari,鈥 A Study for Predicting Heart Disease using Machine Learning 鈥, Turkish Journal of Computer and Mathematics Education, ICICE-2021, SCOPUS, April 2021, Vol.12 No.10 (2021), 4584- 4592.
- Suriya Begum, Farooq Ahmed Siddique,鈥 A Study to Predict Home Loan Defaulter Using Machine Learning 鈥, Samaroh 2021 鈥 SP Sampathy's Memorial International Conference Technology, Innovation and Quality Management 17-18, June 2021.
- Suriya Begum & Dr. Prashanth C.S.R, 鈥淩eview of Load Balancing in Cloud Computing鈥, International Journal of Computer Science Issues, ISSN (Print): 1694-0784 | ISSN (Online): 1694-0814, Vol. 10, Issue 1, No. 2, January-2013, pg. 343 鈥 352.
- Suriya Begum & Dr. Prashanth C.S.R, 鈥淚nvestigational Study of 7 Effective Schemes of Load Balancing in cloud Computing鈥, International Journal of Computer Science Issues, ISSN (Print): 1694-0814 | ISSN (Online): 1694-0784, Vol. 10, Issue 6, No. 1, November-2013, pg. 276 鈥 287.
- Suriya Begum & Dr. Prashanth C.S.R, 鈥淢athematical Modeling of Joint Routing & Scheduling for an Effective Load Balancing in the Cloud鈥, International Journal of Computer Application, (0975 鈥 8887), Volume 104 鈥 No.4, October-2014, pg. 32 鈥 38.
- Suriya Begum & Dr. Prashanth C.S.R, 鈥淪tochastic Based Load Balancing Mechanism for Non-Iterative Optimization of Traffic in Cloud 鈥, IEEE International Conference, SSN Colg of Engg, Chennai, 23-25 March 2016, WiSPNET 2016. Date Added to IEEE Xplore: 15 September 2016, ISBN Information: INSPEC Accession Number: 16304175 DOI: Publisher: IEEE
- Suriya Begum & Dr. Prashanth C.S.R, 鈥淔otm: Framework Optimization Load In Cloud 鈥, Australian Journal of Basic and Applied Sciences, 10(14) September 2016, Pages: 137-145, ISSN:1991-8178 EISSN: 2309-8414, Open Access Journal, Published BY AENSI Publication 漏 IDOSI Publications, 2016.
- Suriya Begum & Dr. Prashanth C.S.R, 鈥淟BRC: Framework for Load Balancing Based on Resource Control in Cloud Environment 鈥, Middle-East Journal of Scientific Research 24 (9): pg. 2866-2872, 2016 ISSN 1990-9233, 漏 IDOSI Publications, September 2016, DOI: 10.5829/idosi.mejsr.2016.24.09.23831.
- Suriya Begum & Kavya, 鈥淎nalysis of Various Big Data Techniques for Security鈥, International Journal of Computer Science & Mobile Computing, ISSN: 2320-088X, Vol 5, Issue 3, March 2016, pg. 54 鈥 58.
- Suriya Begum, Kavya & Venugopal, 鈥淎 Study on Load Balancing Techniques in Cloud Computing Environment鈥, 3rd International Conference on Convergent Innovative Technologies, Cambridge IT, Bangalore, ISSN(Online): 2319-6890, 20th May-2016, ICCIT-2016.
- Suriya Begum, Rohit Mulay & Ashhar, 鈥淣ear Field Communication: A Survey 鈥, International Journal of Emerging Technology and Advanced Engineering, ISSN 2250-2459, ISO 9001:2008 Certified Journal, ISO 9001:2008 Certified Journal, Volume 6, Issue 6, June 2016, pg. 92-97
- Suriya Begum & Swapnil Konar, 鈥淚NCONSISTENCIES IN BIG DATA 鈥, International Journal of Development Research (IJDR), ISSN: 2230-9926, Vol. 06, Issue 08, August, 2016, pp.8842-8846.
- Suriya Begum & Sonia Rani Panda, 鈥淧rocessing the Geo Scattered Big Data in an advanced Map Reduce Schema 鈥, International Journal of Advanced Research in Science Engineering and Technology (IJARSET), ISSN (Online 2350鈥0328), Vol. 4, Issue. 3, March 2017, pg.3480 鈥3486.
Patents:
- Augmented Reality Based Low-Cost Smart Helmet For E-Vehicle (03-02-2021), 202111006351(Indian), 03-02-2021, 12-02-2021
- Artificial Intelligence and Big Data Analytics-Based Insurance Service Fraud Detection System (03-03-2021) (Indian), 202141008884, 03-03-2021, 12-03-2021
- Artificial Intelligence and Big Data Analytics-Based Insurance Service Fraud Detection System (03-03-2021) (Indian), 2021101568(Australian), 03-03- 2021(under process)
AICTE Projects:
- Appointed as an SME REVIEWER by AICTE in the AICTE SLAP PROJECT and Contributed to the AICTE SLAP PROJECT
Achievements & Accolades
- Real Time Projects: Contributed to FIVE client projects in various domains, Bank Good Credit (contributed to the exploration of data analysis (EDA) and did feature engineering), Home Loan Default Risk (cleaning and transforming the data), Insurance Cost Prediction (performed analysis of the data through visualization), FicZon Sales Effectiveness (After k-fold cross-validation technique, the final accuracy was 77%) and ITSM Incident Management (Project was successfully delivered and deployed at client location).
- Recognized by multiple clients with 5-star ratings for reliability, domain expertise, and problem-solving ability.
- Appointed as an Associate Reviewer, advisory board member and AICTE IIC Ambassador.
- Guide and mentor for data science projects, UG, PG, M.Phil students and corporate clients (National and International).
- Silver Winner in the 鈥淢ost Active LINC Fellow and SME鈥 for Data Science Projects in the Annual LINC Fellow Awards (ALFA) 2024.
Professional Associations
Lifetime member of CSI (CSI-I1180451)
Member of IAESTE (Since 2021)
IEEE (Since Sep 2011).