As a Data Scientist at Marani Health Inc., I apply artificial intelligence and data science to monitor and improve the health of mothers and babies. I am also a final-year student at the University of Minnesota, pursuing a Bachelor of Arts in Computer Science with a GPA of 3.66.I have a passion for programming and machine learning, and I have taught myself various skills and technologies, such as Python, SQL, Tensorflow, and SKLearn. At Marani, I have integrated the latest research into the firm's deep learning model, achieving +3% improved predictive accuracy and reaching the industry standard of 98%. I have also built and managed a user-friendly, online platform on AWS that boosted data labeling efficiency by 50%, and developed automated tools that enhanced data extraction speed by 70%, facilitating real-time updates and fine-tuning of the model. Previously, I was a Modeling and Simulation Intern at Donaldson, where I produced machine learning algorithms to discover non-production data from machines in multiple factories, and analyzed databases to provide statistical information and visual representations of potential power leaks, aiding in the reduction of carbon emission. I am excited and ready to continue my journey in the industry of software development and artificial intelligence, and to contribute to the advancement of healthcare outcomes with data science. I am a fast learner, a creative thinker, and a collaborative team player.