Hydraulic Design System Optimization : Contributed to the optimization of a hydraulic design system by refactoring a legacy Python project for VS Code compatibility, enabling open-source contributions. Researched and applied hydraulic design principles and cost optimization techniques to enhance system efficiency and reduce resource expenditure. Developed and implemented Linear Regression models to predict and minimize hydraulic system costs, performing multiple project iterations to refine results. Conducted rigorous manual validation of cost calculations and performed comprehensive testing to identify and resolve functional errors, ensuring the accuracy and reliability of the final design. Finalized the system by fixing bugs, validating pipe direction logic, and ensuring all outputs aligned with design specifications and cost parameters, preparing the project for deployment. SEO Automation & Analysis : Engineered and deployed n8n-based automation pipelines to streamline off-page SEO tasks, significantly reducing manual workflow execution time. Automated key processes, including keyword tracking, backlink monitoring, and competitor analysis, by integrating various APIs and developing custom Python scripts for data processing. Leveraged the Semrush tool suite to conduct comprehensive SEO audits, identifying and resolving critical technical issues. Performed in-depth keyword research, backlink analysis, and competitor benchmarking to generate actionable insights for content optimization and link-building strategies. Integrated Semrush data into automation workflows to facilitate real-time SEO monitoring and reporting.