• I possess over 2 years of experience in the AI/ML field, currently serving as a Junior Data Scientist. My skill set includes proficiency in Python and a variety of libraries such as Pandas, Numpy, SciPy, PyTest, Scikit-Learn, Statsmodels, Plotly, Matplotlib, Seaborn, NLTK, Spacy, TensorFlow, Keras, PyTorch, Hugging Face, and Flask. • In the realm of mathematics, I am well-versed in Statistics, Hypothesis Testing, Linear Algebra, Multivariate Statistics, Kernel Methods, Information Theory, Statistical Learning Theory, Probability, Calculus, Trigonometry, and General Aptitude. • My expertise extends to various techniques and algorithms, encompassing Supervised Learning, Unsupervised Learning, Regression, Classification, Time Series Analysis, Dimensionality Reduction, Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short-Term Memory (LSTM). • I am also adept in utilizing SQL, Docker, Git/Github, MS Excel, MongoDB, and Apache Solr in applications and database management. This comprehensive skill set positions me as a versatile professional in the AI/ML domain.