1. Cleaned job position information collected from the internet, including text and numerical.2. Performed some data visualization and analysis on job salary, required experience, required education and other conditions. (We use these information to help client to design reasonable salary for job candidates)3. Matched job description with the job titles in our job related database, using traditional machine learning algorithm (Logistic Regression as benchmark, RandomForest, SVMs and clustering algorithm) and some naive deep learning algorithm, like textCNN.4. Built a job tree to visualize hierarchical relationship among jobs provided in a certain company.5. Wrote scripts to help to accelerate work efficiency and data accuracy.

1. Wrote scripts to collect data from internet which are used to identify certain interesting events happening around desired location2. Designed simple algorithm to analyze geographical affinity between all available e-parking lots in certain city3. Designed algorithm to recommend the most favorable parking lot for user with different characteristics4. Verified data accuracy and identified wrong data