Acquiring and applying tools, techniques, and data science to gather health parameters to assist clinicians in early and accurate diagnosis of medical conditions through advanced, innovative solutions.• Restructured Arrhythmia Templates Generation Python code into scalable modules.• Transitioned Python codebase to Go for arrhythmia detection, resulting in a significant reduction in output generation time.• Implemented efficient data handling for heart rhythm abnormalities by integrating Go with AWS.• Developed an interactive sales stacked bar chart using D3.js for data interpretation and handling, incorporating JSON data, hover transitions, labels, and a legend.• Created data interpretation graphs in Go to monitor sensor battery levels during ECG monitoring, incorporating data in CSV files, labels, legends, and scatter plots.• Enhanced Python code for battery-level scatter plots by adding color differentiation for each condition, improving readability and understanding.