My skill set includes proficiency in Python, SQL, MongoDB, and familiarity with cloud platforms such as AWS. I have hands-on experience with data science toolkits like Anaconda, NumPy, MatLab, Pandas, Seaborn, SciKit-Learn, NLTK, among others. My expertise extends to machine learning techniques such as Linear Regression, Logistic Regression, Naïve Bayes, Support Vector Machine, Decision Tree, Random Forest, and various clustering algorithms.In addition to my technical skills, I am adept at text processing, including NLTK, TF-IDF, Word2Vec, and Bag of Words. My knowledge of deep learning covers Neural Networks, CNN, DNN, Transfer Learning, and frameworks like TensorFlow 2.x and Keras. Furthermore, I have a solid foundation in statistical methods, hypothesis testing, and probability, making me well-equipped to analyze and interpret complex datasets.