I am a current Master of Science in Data Science student at the University of Michigan, Ann Arbor, where I also completed my undergraduate studies as well. My academic focus areas are Time Series Analysis, Bayesian Modeling, Machine Learning, and Natural Language Processing.After I graduate, I hope to accept a position as a Data Scientist, Data Engineer, or Machine Learning Engineer that solves complex problems and harnesses data-driven insights to guide strategic decisions. I’m particularly interested in the financial services, technology, and healthcare industries, where I have experience working on ML solutions for fraud detection and kidney cell type identification.I have experience developing data products using Python and SQL. I excel in creating data workflows utilizing Airflow, Astronomer, and Google Cloud BigQuery. I am proficient in developing machine learning models with frameworks like Sci-Kit Learn and PyTorch, and deploying these solutions on Google Cloud Vertex AI.Apart from my career and education, I enjoy spending time weightlifting, traveling, or at the Big House, one of the most electrifying college football atmospheres.