Experienced Python Data Scientist | Machine Learning | Financial & Healthcare Projects | Data Analysis | Web DevelopmentExperienced Python Data Scientist with expertise in machine learning, data analysis, and web development. Skilled in utilizing Python and various ML packages such as NumPy, Pandas, SciPy, Scikit-learn, Seaborn, and Matplotlib. Proficient in implementing regression models (linear, ridge, and lasso), classification algorithms (logistic regression, naive Bayes, k Nearest Neighbors, SVM), decision trees, random forest, and gradient boosting. Experienced in time series analysis using ARIMA and SARIMA models.With a strong background in probability, statistics, and Bayesian methods, I possess a deep understanding of data visualization and summarization techniques to convey key findings. My ability to write clean and production-ready code with an object-oriented approach enables efficient data processing and analysis. Proficient in the Flask web framework and experienced in working with relational and SQL databases for data management.In addition to technical skills, I have strong communication and interpersonal abilities, allowing me to interact effectively with clients and stakeholders. With a thorough understanding of probability and statistics, I apply advanced analytical methods to drive novel approaches in data processing and information extraction. I have experience in source code management using Git and GitHub.Proficient in languages: PythonCloud platforms/services: Google Cloud Platform (GCP), AWS, AzureWeb stack: FlaskOperating systems: Linux, WindowsDatabase: SQLiteTechnical Skills:Mathematics & Statistics: Filter, Wrapper, Embedded Method, P-value, T-test, Z-test, ANOVA test, Chi-Square Test, Info-Gain Test, Hypothesis Testing, Gradient DescentDeep LearningAWS: Elastic Compute Cloud, Sagemaker, Notebook Instance, AWS Container, Simple Storage Services (S3), Deployment, Multi-cloud EnvironmentNLPDatabases: 3C (Command, Constraints, Clauses), CRUD Operations, Subqueries, Window Functions, JoinsProject Highlights:Project: Analyzing and interpreting large datasetsDeveloping advanced programs for data extraction and preparationDesigning and implementing analytical methods to support innovative data processing approachesConducting analysis to assess data quality, extract meaningful insights, and provide valuable information.