As a Data Scientist with extensive expertise in Python and Machine Learning, I have developed various data-driven solutions for businesses across multiple industries. My skillset includes expertise in Python libraries such as NumPy, Pandas, Scikit-Learn, TensorFlow, and Keras, along with experience in building complex ML models such as Random Forest, XGBoost, and Deep Neural Networks. I have hands-on experience in data preprocessing, data visualization, model selection, and optimization, and I am adept at building end-to-end solutions that deliver actionable insights. Whether it's developing predictive models or designing recommender systems, I am passionate about solving real-world problems with data-driven approaches. With my deep knowledge of Python and Machine Learning, I can help businesses gain valuable insights from their data and drive better decision-making.