Experienced Data Science professional with over 9 years of industry expertise. Proficient in Python 3.7, specializing in libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, Keras, Dask, Dash, and Streamlit. Skilled in a range of machine learning techniques including Linear Regression, Multiple Linear Regression, Regularization (Lasso and Ridge), Polynomial Regression, Gradient Descent, GBM, XGBoost, Logistic Regression, Naïve Bayes, SVM, KNN, Dimensionality Reduction (PCA, t-SNE), and Clustering Algorithms.Demonstrated proficiency in the entire lifecycle of machine learning algorithms, encompassing objective discovery, data preprocessing, algorithm training and iteration, validation, performance enhancement, deployment, monitoring, and updates. Possess a robust understanding of statistical methodologies for data analysis, facilitating the creation of predictive models across Regression, Classification, and Clustering domains.