
1.Built AI models following the architecture of Cross Industry Standard Process for Data Mining (CRISP-DM).
2.Used various descriptive and Inferential Statistics and Probability methods for the transformation of data as a part of Data Preprocessing.
3.Worked on various Machine Learning, Deep Learning models. Learnt various NLP approaches and their evolution i.e., BagOfWords>TF-IDF>Word Embeddings> Transformers.
4.Developed Deep Learning and NLP models using libraries like Keras, TensorFlow and PyTorch.
Machine Learning
Deep Learning : Keras, Tensorflow, Neural Networks (Perceptron, ANN, CNN, RNN), LSTM, Self-Organizing Maps (SOMs)
Open CV, Single Shot Detection (SSD), Generative Adversarial Networks (GANs)