Khushi Nathawat

Conducting advanced research on contrastive deep self-supervised learning methods for enhanced cardiac signal interpretation.

• Developed and applied contrastive deep self-supervised learning methods to classify monkey ECG data, leveraging large-scale EDF datasets to enhance automated cardiac signal interpretation.
• Optimized deep learning pipelines, including ResNet1D, to significantly improve ECG signal classification accuracy under the guidance of Prof. Dr. Thomas M. Deserno.

Managed data analysis and SEO optimization initiatives to drive sales efficiency and client engagement.

• Streamlined sales data analysis from diverse sources, generating actionable insights that refined sales strategies, leading to more targeted client engagement and improved overall sales efficiency.
• Achieved a 372% increase in organic traffic by enhancing SEO through keyword analysis and strategic daily content generation on the company's WordPress website, significantly boosting customer engagement.

Led and managed a team responsible for organizing numerous events and achieving significant recognition.

• Directed and managed a team of 20 members, successfully organizing 14 events, and led the team to achieve the prestigious Best Contingent Award at Verve (Punjab Engineering University) and InterIIT Cult Meet 5.0.

Designed and implemented a personalized recommendation system for an e-commerce platform.

Developed an automated system for traffic violation detection using object detection and a web interface.

Performed data analysis to optimize marketing strategies for a sandwich brand.

Conducted a case study on optimizing logistics for a major retail e-commerce giant.

Achieved a top 10 placement out of 300+ participants by delivering an impactful analysis on Flipkart's supply chain, proposing cost-saving solutions.

Secured 3rd place among 500 teams by efficiently developing a no-code metaverse platform, showcasing innovative educational applications.