Skilled in programming with Python and SQL, specializing in data visualization using tools like Power BI, Tableau, Seaborn, and Matplotlib. Proficient in advanced database management with MySQL, PostgreSQL, and MS Excel. Experienced in machine learning techniques such as Regression, Classification, and Clustering, and well-versed in data science libraries including Pandas, Numpy, and Scikit-Learn. Adept at utilizing development environments and tools such as VS Code, Jupyter Notebook, Git, and GitHub.Demonstrated expertise in projects like Sales Insights Data Analysis, where I leveraged MySQL, Power BI, and Microsoft Excel for data manipulation, ETL processes, and creating insightful dashboards for strategic decision-making. Additionally, showcased proficiency in Git & GitHub, Power BI, and Excel in the Data Professional Breakdown project by implementing ETL functions, data cleaning, and dynamic dashboard development.Key skills include data collection, cleaning and preprocessing, exploratory data analysis and modeling, data visualization, and interpretation/report submission. Passionate about leveraging data to drive informed decision-making and deliver impactful insights. Additionally, skilled in utilizing AWS for cloud-based solutions.