• Prepared, cleaned, and analyzed over 10,646+" ECG datasets, reducing data noiseand enhancing signal quality, which improved the accuracy of predictive models by15%], aiding in the detection of cardiovascular conditions.• Developed and implemented machine learning models such as CNN and LSTM toimprove prediction accuracy by 20 and reduced processing time by 10% by usingScipy, optimizing performance in "ECG signal analysis" and "Heart diseasediagnostics. Performing statistical analyses and data visualizations.• Trained, tested, and optimized LSTM machine learning model, achieving 97%accuracy with 25% increase and reducing error rates by 20% throughhyperparameter tuning and data augmentation, leading to enhanced performancein "predictive analytics" and "heart signal classification".• Automated data processing and model deployment pipelines, reducing manualworkload by 50% and cutting deployment time by 30%, resulting in faster modeliterations and improved scalability in healthcare analytics.

• Conduct in-depth analysis of software system requirements and user needs,identifying key functional gaps and optimizing design specifications to enhanceuser experience and system performance.• Designed and developed software systems using programming languages such asC#, Java, and Python, delivering computer software systems solutions thatimproved processing data speed by 40%, automated the data process, andenhanced system reliability and functionality for accounting systems, documentarchiving, and data analytics platforms.• Created comprehensive documentation detailing software system design,architecture, and functionality, enhancing team collaboration and reducingonboarding time, while ensuring clear communication of technical specifications to developers and stakeholders.