I am a post-graduation student in Data Science who is passionate about my field of expertise are Machine Learning and Deep Learning algorithms like KNN, Naive Bayes, Logistic Regression, SVM, Decision Trees, Ensemble Models, Clustering, Neural Networks, MLP, CNN, and LSTM.I am proficient in Python language and SQL and I possess basic R Languages too. I am also proficient in Data Structures & Algorithms.I have hands-on experience in data mining, data preprocessing, data visualization, and applying and training Machine Learning and Deep Learning models.In addition, I have worked with libraries that are most widely used in Machine Learning like Pandas, Numpy, Scikit-Learn, Seaborn, Keras, Tensorflow, OpenCV, etc. At the same time, I have also worked on text data where I used techniques namely Embedding layer like Bag-of-Words, TFIDF, Word2Vec to convert text to vectors, and ultimately trained Machine Learning and Deep Learning models on them.I am an open-source contributor on GitHub. I write blogs about my adventures and learnings in data science. Additionally, I love playing cricket and workout. Sports are a large part of my life outside data science and academics.