With 10+ years of experience in data analytics and biomedical engineering, I am passionate about transforming healthcare with data, artificial intelligence (AI), and innovation. My core competencies include health data science, AI, signal processing, machine learning, research, and grant writing. I have extensive experience in analyzing large and complex datasets, developing predictive models, and applying advanced algorithms to address real-world healthcare problems. I have also successfully secured over $600K+ in funding as a principal or co-principal investigator and published 17+ peer-reviewed papers in prestigious journals. Additionally, I have mentored and trained 32+ students and professionals in the field of data science and biomedical engineering and served as an editorial board member for a Nature Publishing Group.SPECIALTY- Design and analysis of experiments- Supervised and unsupervised learning- Machine learning with scikit-learn, PyCaret, PyTorch- Causal inference- Data operations, Analytic data frames- LASSO, adaptive LASSO, SCAD, and regularization methods for high dimensional data- Multivariate multiple regression, Logistic regression, PCA, Factor Analysis (FA),- Multilevel and mixed modeling, GAM- Data management and analysis with SAS; SAS/SQL, GLM, MIXED, GLIMMIX, RSREG, FACTEX, and Multiple comparison procedures- PySpark, Hadoop, Hive/HiveQL for distributed computing and big data managementArea of Application- Sleep Medicine and Sleep Apnea- Heart Failure Management- Asthma and COPD Management- Prostate Cancer Management