Quantitative Physiologist and Data Analyst bridging the gap between clinical research, metabolic medicine, and advanced computational modeling. My research integrates preclinical investigations and clinical practice, with a specific focus on reproductive biology, toxicology, and pharmacological interventions in metabolic disorders. I specialize in applying rigorous statistical methodologies, Python, and R to model complex, multi-variable physiological datasets. As an active member of the Reproductive Biology and Toxicology Research Laboratory (ReBTReL), I collaborate with interdisciplinary scientists to drive translational research from bench to bedside. My professional background spans both academic research and enterprise data engineering, ensuring absolute methodological integrity and scalable data solutions in every project.