Divyash Kumbhani

Background

About Divyash Kumbhani

I am a Master’s graduate from the University of Windsor in Electrical & Computer Engineering, specializing in data analysis, machine learning, and signal processing. My background includes technical research and practical experience in healthcare analytics and data science. Professional Experience: My technical journey includes training as an Assistant System Engineer, where I developed proficiency in Python, SQL, and Java, improving coding efficiency. I’ve also conducted in-depth research on medical data applications, authoring four peer-reviewed research papers that explore advancements in obstructive sleep apnea detection, hypertension diagnosis, and other critical areas in bioinformatics. Key Projects and Achievements: Under Graduate Research Award (IITRAM) for exceptional work in signal processing applications within healthcare analytics. Published research addressing clinical challenges, including a high-accuracy sleep apnea detection system and hypertension diagnosis models. Designed a skin cancer detection prototype achieving 85% accuracy with CNN and MobileNet V2. Developed an emotion detection system from EEG signals with 92% precision, advancing the understanding of emotional states in clinical settings. Certifications: To stay current, I have pursued Deep Learning, Python, and Data Science certifications, continuously enhancing my skills on platforms like DataCamp, Udemy, and NPTEL. This dedication keeps my knowledge in line with industry standards. Skills: Python | SQL | MATLAB | Machine Learning | Deep Learning | Data Analysis | TensorFlow | Signal Processing | Data Visualization | Core Java | Healthcare Analytics | CNN | EEG Signal Processing | Wavelet Transform You can reach me via LinkedIn to connect or discuss opportunities. I am eager to contribute to data analysis, machine learning, and healthcare analytics projects.