Prof. Deepak is a dedicated applied mathematician and educator with extensive experience in teaching a diverse range of mathematical, analytical, and computational subjects. Possessing a strong foundation in core mathematical principles, he effectively bridges theoretical concepts with practical applications relevant to modern scientific and technological fields. His teaching expertise encompasses both fundamental and advanced areas. Prof. Deepak has significant experience instructing core undergraduate mathematics sequences, including Calculus, Linear Algebra, and Differential Equations, ensuring students develop a rigorous analytical foundation.
Building upon this mathematical core, Prof. Deepak has expanded his pedagogical focus to include cutting-edge topics in machine learning and artificial intelligence. He has developed and taught courses in Machine Learning, Deep Learning, and Optimization, equipping students with the skills necessary to solve complex, real-world problems.
Currently, Prof. Deepak is working as an Associate Professor in Mathematics and Analytics area at TAPMI, Bengaluru. He is teaching courses like Business Mathematics, Linear Algebra and Introduction to Python.
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Business Mathematics, Linear Algebra, Vector Calculus, Differential Equations, Real Analysis, Machine Learning, Deep Learning, Optimization, Probability & Statistics, Stochastic Processes and Python.
Solution of differential equations using Physics Informed Neural Networks, Application of Machine Learning algorithms in Business, Economics and Finance.
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