Having 4 years of experience in applying Deep Learning as a tool for various domains like Recommendation, Geometry, Surface Recognition, and the Oil and Gas Industry. Worked on various deep learning architectures like MLP, CNN, and LSTM along with basic ML algorithms like Random Forest, SVM, AdaBoost, ARIMA, and others. Interested in creating interactive visualization tools using the python library "Plotly". Knowledge of AWS and GCP cloud to deploy Machine Learning Pipelines. In the meantime has a habit of reading AI news along with developing content for blogs and LinkedIn posts which provides a medium to share knowledge with the greater community. Languages Known: C++, Python Machine Learning Libraries: Numpy, Pandas, ScikitLearn, Tensor Flow, Keras, MatplotLib, Seaborn, Plotly