Qinzhe Wang
Data science needs a real-world scene to land.
About me
Qinzhe Wang is currently a second-year master's student studying Statistical Science at Duke University. During his undergraduate study, a triple major in Statistics, Mathematics, and Economics with a Business minor equipped him with solid data science and critical thinking skills. He has long been passionate about applying analytic methods to analyze real-world datasets that could bring value to people, companies and society. Currently seeking a full-time job as a data scientist.
Education
Projects
Ongoing project. Build a Levenshtein distance-based non-word spelling corrector. Accept a document as a single string or a text file and return the corrected document as a single string.
Implement Stochastic Gradient Hamiltonian Monte Carlo Algorithm from the paper written by Tianqi Chen, Emily B. Fox, and Carlos Guestrin.
Designed to serve football fans: provide game information, display the data of teams & players with download function.
Analyze the features correlated to happiness with statistical and machine learning models.
Help authors on Mashable to predict the click rates and to determine whether their articles will be popular.
Analyze the relationship of economic mobility and the education level (main focus). Dive deep into the mobility patterns.
Analyze the rent cost for students with respect to their University and building of a model that can accurately predict the college housing rental rates.
Developed a messenger bot supporting free-chat, weather query, reminder set-up, and other functions.
Interests