I graduated with a master’s degree in Health Data Science from the University of St Andrews in the UK. I have a solid theoretical foundation and extensive practical experience. I am highly sensitive to data, with excellent information-gathering abilities. I excel at identifying and removing outliers, and organizing and analyzing data to complete analytical reports. I am adept at uncovering issues through data and providing targeted optimization suggestions. I can effectively use data analysis software such as Python, SQL, and Excel, and am familiar with algorithms like Random Forest, Naive Bayes, and K-means. Additionally, I have two years of extensive work experience, enabling me to proficiently handle data collection, extraction, cleaning, filtering, and analysis tasks.My friends might describe me as ‘the logical one’ because I’m the go-to person for analyzing and solving problems. I enjoy taking on tasks and seeing them through to completion. I’m proactive, quickly identifying needs and providing solutions. I challenge existing processes, stay tenacious, and have a keen eye for detail. I want to be part of a collaborative culture where I feel empowered but also know I’m never alone in the trenches. Additionally, I possess excellent communication skills, allowing me to easily represent the company’s culture and values, and to confidently lead meetings with business data owners.Programming Languages: Python, SQL, Microsoft Office (Excel-VBA), TableauLibrary: Tensorflow, Numpy, Pandas, PyTorchLanguages: Mandarin, English