11/03/2025
Welcome Dr Aashima Bangia , as Advisory Platinum Member of Yogichakra Group
She is working as Assistant Professor, MCA Coordinator at the Centre for Distance and Online Education (CDOE), Sharda University. With over 8 years of distinguished experience in academic research, she has specialized in building and training sophisticated machine learning mathematical models and conducting predictive analysis. Her expertise spans predictive modeling of hybrid systems, knowledge-based systems, wavelets, fractals, data mining, soft computing, machine learning, deep learning, and text mining. She excels in constructing and analyzing mathematical models for complex real-world problems, delivering optimized solutions. She has authored 28 research articles, book chapters, and proceedings in peer-reviewed international and national journals, including those indexed by SCI, Scopus, and Web of Science. Additionally, she has presented her work at 12 prestigious international and national conferences. As an IBM Certified Data Science Professional, she has also completed over 20 certifications in AI, ML, and DL from Coursera, underscoring her commitment to continuous learning and professional development. Her technical skill set includes advanced proficiency in Advanced Excel and MATLAB, with foundational knowledge of Python, SPSS, Mathematica, and LaTeX. She leverages data visualization and analysis techniques through AI and machine learning methods such as SVM, CART, decision trees, logistic regression, PCA, random forest, KNN, and SVD. Her experience extends to reinforcement learning, covering Markov decision processes and Q-learning, as well as deep learning methodologies like ANN, CNN, RNN, and LSTM. Her domain expertise encompasses data mining, soft computing with fuzzy logic, multi-faceted model predictions, and predictive regression and forecasting using performance metrics such as RMSE, MSE, MAE, R2, MAPE, and MASE. Additionally, she is well-versed in computational linguistics, including natural language processing (NLP), semantic analysis, and topic modelling.
