Discover key projects and achievements of Ms.Nivetha S,Assistant professor. This portfolio showcases her impactful work and contributions to the field.
MS. Nivetha is pursuing a Ph.D. in Computer Science at Quaid-E-Millath Government College for Women, with her synopsis submitted. She achieved a 99th percentile in the NET in Computer Science in June 2020. She completed her M.Sc. in Computer Science from Anna Adarsh College for Women and her B.Sc. from Ethiraj College for Women. Her Higher Secondary Certificate (HSC) and SSLC were obtained from Jaigopal Garodia Matriculation Higher Secondary School.
I possess strong technical skills in various areas including data mining and software engineering, with a solid understanding of system software and operating systems. My expertise extends to data communication and computer networks, as well as database management systems and SQL. Additionally, I am proficient in data structures, which enhances my ability to develop efficient and effective solutions.
I have experience working as a part-time faculty member for UGC-NET in various coaching institutions across Chennai, where I have been involved in preparing students for competitive exams. Additionally, I have worked as a teacher at Vatsalya Matriculation Higher Secondary School in Chennai, where I contributed to the academic development of students and supported their learning needs.
I have published several research papers under the guidance of Dr. Ananthi Sheshasaayee. My notable works include “A Survey on RBF Neural Network Algorithms” in the Journal of Fundamental & Comparative Research (Vol. VII, No. 11(1), 2022). I also published “A Taxonomy of Optimal Feature Learning Model in Combined Data Mining System” in the IEEE Xplore® digital library (2021) and “An Analysis of Stock Market Based Data Mining Using Machine Learning Techniques” in the Wesleyan Journal of Research (Vol. 14 No. 5 (I), 2022). Other contributions include “An Optimal Predictive Model of Probabilistic Multi-Model Neural Network for Mining of Stock Market” in Shodha Prabha (Vol. 47, Issue 01, 2022), “Financial Forecast: Systematic Analysis Using Principal Component Analysis” in E-Commerce for Future & Trends (Volume 9, Issue 2, August 2022), and “Evaluation and Scientific Investigation: Stock Market Forecasting Techniques” in the Journal of Computer Technology & Applications (Volume 14, Issue 3, December 2023). Additionally, “An Element Gathering Optimization based Probabilistic Multi-Model Neural Network Classification Algorithm for Stock Market Prediction” is accepted for Springer publications, and “A Framework On Advanced Elematrix Harmony Optimization (EHO) Using Machine Learning Algorithm For Stock Market Predictions” is featured in Stochastic Modelling and Computational Sciences (Vol. 3 No. 2 (I), July - December 2023).
I have published several research papers, including “A Taxonomy of Optimal Feature Learning Model in Combined Data Mining System,” presented at IEEE ICMNWC in December 2021 and available on IEEE Xplore®. My work “An Analysis of Stock Market Based Data Mining Using Machine Learning Techniques” was featured at ICIRTCS-22 in March 2022. Additionally, “An Element Gathering Optimization based Probabilistic Multi-Model Neural Network Classification Algorithm for Stock Market Prediction” was presented at ICRIC 2023 in October 2023.
I have completed several certificate courses, including **“Application of Machine Learning in Finance,”** “Principal Component Analysis,” and “Stock Price Prediction Using Deep Learning” from Great Learning. Additionally, I completed “Machine Learning – From Basics to Advanced” and “Learn Machine Learning & AI (Including Hands-on 3 Projects)” from Udemy. I also participated in 13 courses through ICT Academy’s New India Learnathon and took “Introduction to Creative AI” and “Digital Skills” from Future Learn.
I participated in a Five-Day Faculty Development Programme on “Research – The Journey from Inception to Publishing” organized by IQAC and the PG & Research Department of Computer Science at Dhanraj Baid Jain College from February 5-9, 2024. I also attended the “Chat GPT – A Step Forward to Conversational Excellence” workshop in July 2023, organized by Yelagiri Hills ACM Professional Chapter & Don Bosco College. Additionally, I participated in the UGC-sponsored National Webinar on “Data Analytics” on March 23, 2022, and the “Trends in Deep Learning for Speech, Image, and Video Processing” conference (ICCCSP 2022) by Sri Sivasubramaniya Nadar College of Engineering. I also joined the FICCI – DT4 Summit at ITC Grand Chola and a national workshop on “Basics of Documentation Using LaTeX” at Stella Maris College, along with Interface 2019 – IOT TECK-THON at Anna Adarsh College for Women.