Morage L.

As a Data Science professional, I specialize in statistical analysis, predictive modeling, and data-driven decision-making. My expertise includes managing large datasets, cleaning and transforming data, building predictive models, and refining model performance to improve accuracy. I am experienced in using evaluation metrics such as RMSE, MAE, and other performance indicators to assess model reliability and support better business decisions. I also design clear, actionable dashboards using tools such as Power BI and Google Looker Studio. My focus is on turning complex datasets into easy-to-understand visual stories that help users monitor performance, identify trends, and make informed decisions. In addition to my data science background, I have hands-on experience in Python development and web application development. I can build and customize web-based tools, dashboards, forms, admin panels, file upload systems, and database-connected workflows. I am comfortable working with both frontend and backend technologies, including HTML5, CSS3, JavaScript, Python, Flask/FastAPI concepts, SQL, MySQL, MongoDB, Pandas, Scikit-learn, and RStudio. My web development experience includes creating user-friendly interfaces, improving page layouts, handling form-based workflows, processing CSV/Excel/XML data, connecting frontend actions with backend logic, and supporting database-driven applications. I am also comfortable working within existing client platforms or app-builder environments, where the goal is to add features, improve workflows, fix issues, and make the system easier for real users to use. Overall, I offer a versatile combination of data science, dashboard design, Python programming, and web development skills. My goal is to help clients turn raw data, manual workflows, or business ideas into practical, clean, and easy-to-use digital solutions.