I have worked on various projects involving use of machine learning, deep learning and NLP in the domains of agriculture, news classification and customer segmentation. Programming language and skills: Python, Flask, Machine learning, Deep learning, NLPTools and Libraries: Jupyter notebook, Anaconda, Twint, Excel, Mysql Workbench, Pandas, Numpy, Scipy, PyCBC, Scikit-Learn, Matplotlib, Seaborn, Flask, Nltk, Keras, TensorFlowML and DL algorithms: Linear regression, Logistic regression, SVM, Decision tree, Random forest, Naive bayes, Gaussian Naive bayes, Gradient Boost, Adaboost, XGboost, K-means, DBscan, Hierarchical clustering, Artificial neural networks(ANN), Convolutional Neural Networks(CNN), Recurrent Neural Networks(RNN)Secured AIR 381 in the Joint Entrance Screening Test(JEST), which is conducted by the Tata Institute of Fundamental Research for getting admission to the top 25 national institutes like IISERs, PRL, IISc, etc Secured AIR 679 in the Joint Admission Test for M.Sc. - Physics (JAM), which is conducted for MSc admissions in IITs.