Tongxu Yang

Tongxu Yang

San Francisco Bay Area
2K followers 500+ connections

Activity

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Experience

Education

Courses

  • Algorithms and Advanced Data Structures

    15-650

  • Data Mining

    12-742

  • Data Structures for Application Programmers

    08-722

  • IT Project Management

    95-808

  • Introduction to Machine Learning

    10-601

  • Principles of Computing

    15-110

  • Web Application Development

    15-637

Projects

  • MINI FLICKER PHOTO SHARING APP, Android

    Developed a Photo sharing app and provided the ability to view, manipulate, search and download photos
    • Wrote an automated photos gallery by applying Flicker RESTful API.
    • Parsed JSON response to extract photo information.
    • Smoothed scrolling gallery by loading a scaled down version into memory.
    • Persisted searching history and displayed suggestions based on recent user queries, before a query is completed.

  • SIMULATION OF AN INFECTIOUS DISEASE SPREAD

    • Devised canvas to represent people’s health states and physical proximity of people in the population.
    • Generated infected people who can randomly infect neighbours in a designated time, applying pseudorandom number generators.
    • Mapped spread of infectious diseases.

  • MINI APP STORE

    -

    Full stack developed a mini App Store with key components: Crawler, Recommender, Front-end.
    • Crawled 1,000,000 apps from Huawei AppStore with Scrapy and Proxy, loaded data into MongoDB, and achieved the performance of 100 pages/second.
    • Implemented Cosine Similarity to calculate App’s top 5 related Apps and achieved the performance of 1 second/app.
    • Built front-end of an app store to display app list pages and detailed pages.

  • PREDICTION OF AIRBNB USER BOOKING

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    Built a two-level classification model to predict the Airbnb user’s booking destination country based on their demographics and session data.
    • First Level: a binary classifier with Voting Mechanism combining linear, logistic and polynomial regression to separate US and Non-US destination.
    • Second Level: a multi-class classifier with a combination of SVM and multi-class to select top 5 Non- US destination.

  • RESPONSIVE SOCIAL NETWORK WEBSITE

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    Designed a social network website with similar core functions of Twitter.
    • Crafted website to provide an optimal viewing on multiple devices(screens) by applying Bootstrap and creating Responsive Web Design.
    • Implemented Ajax calls using jQuery to execute user requests asynchronously and achieve quasi-real-time feed.
    • Performed database connection and queries using MySQL on the back end.

Languages

  • Chinese

    Native or bilingual proficiency

  • English

    Professional working proficiency

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