Courses & Certifications
Introduction to Neural Networks and PyTorch
Coursera
2020
Built neural networks with PyTorch, covering CNNs, RNNs, backpropagation, and activation functions. Applied to image classification and sequence modeling.
Object-Oriented Data Structures in C++
Coursera
2020
Implemented OOP data structures (linked lists, trees, hash tables) with complexity analysis in C++. Focused on memory management and recursive algorithms.
Applied AI with Deep Learning
Coursera
2020
Learned about deep learning models (GANs, LSTMs, autoencoders) using TensorFlow/Keras. Included model deployment via Flask APIs.
Ordered Data Structures
Coursera
2020
Constructed hierarchical structures (heaps, B-trees) and graph algorithms (Dijkstra, BFS/DFS). Optimized memory allocation patterns.
Iterative Tools for Data Scientists and Analysts
Iterative
2022
Learned about data version control, model training, and model evaluation. Used DVC/MLflow for workflow automation.
Fundamentals of Deep Learning
Nvidia
2022
Learned about neural networks, backpropagation, and optimization techniques. Implemented CNNs and RNNs in TensorFlow/Keras.