Data keeps on increasing and hence, the models need to train more for better performance. Deep learning proves to be a boon when data is abundant. Our data science portfolio includes Data wrangling, EDA, ML, Deep Learning, Neural Networks, GPT, Reinforcement learning, Numpy, Matplotlib, Pandas, SciPy, Scikit-Learn, TensorFlow, TensorFlow-Lite, FastAI, OpenAI API, OpenCV, Requests, PyMongo, and PyTest.