Fei Zou

Fei Zou

San Francisco Bay Area
8K followers 500+ connections

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About

I am a Computer Science enthusiast.

Activity

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Experience

  • Twilio Graphic

    Twilio

    San Francisco Bay Area

  • -

    San Francisco, CA, United States

Education

Courses

  • Artificial Intelligence

    CS6364

  • Big Data Management and Analytics

    CS 6350

  • Database Design

    CS 6360

  • Design and Analysis of Computer Algorithms

    CS 6363

  • Machine Learning

    CS 6375

  • Natural Language Processing

    CS 6320

  • Operating System

    -

  • Special Topics in Computer Science - Data Representations

    CS 6301

  • Virtual Reality - Virtual Reality

    CS 6334

  • Web Programming Languages

    CS 6314

Projects

  • Identify Enron Fraud (Machine Learning)

    ● Preprocessed data and removed some outliers using R
    ● Selected features from 23 features and 146 examples with SelectKBest
    ● Built training model with Naïve SVM, KNN and Decision tree to predict POI class label
    ● Improved Accuracy from 80% to 92% with tuning parameters

  • Pacman World(Artificial Intelligence)

    -

    • Designed search agents for several situations to help Pacman finding paths through the maze using Python
    • Implemented Uniformed Cost Search with different cost functions to help Pacman adjust paths
    • Improved the search behavior using A* search with Manhattan distance as heuristic
    • Tested different heuristic and chose Minimum Spanning Tree as the final solution

    See project

  • Semantic Search Engine(Natural Language Processing)

    -

    • Designed a system, given an input like some keywords and returns the related News using NLP technology
    • Developed a comprehensive pipeline to parse the query into a set of NLP featured data using Python
    • Implement search engine with Lucene which allows add index of features such as POS, Lemmas, hypernyms…
    • Improved the accuracy of search result by giving different weight to feature and combining them together

    See project

  • House Value Prediction (Machine Learning)

    -

    • Completed data cleansing using python and removed some outliers using Matplotlib
    • Use univariate analysis and built Extra Tree Model to get the most important variables from 58 features
    • Implemented Decision Tree to build training model and improved training result to 0.0646697(median margin of error) with using XGBoost and LightGBM

  • Game of Break-out Android Application

    -

    ● Implemented basic function: sign-up, log-in and playing with paddle
    ● Recorded Game History with SQLite
    ● Used gravity sensor and accelerometer to control the paddle
    ● Optimized the UI design based on human-computer interaction guides

  • Music Player Android Application

    -

    ● Developed a users favorites system with SQLite and linked it with a personalized online recommendation system
    ● Implemented music playing module and automatic online lyric searching module
    ● Designed and maintained database for user play lists, comments and user info

  • Library Circulation Desk DBMS

    -

    ● Implemented a native GUI application with Java and designed GUI with Swing
    ● Cleaned and normalize data and imported the dataset to MySQL via script written by Python
    ● Drew the schema for the database and implemented functions like book search, book loans, check in and borrower management
    ● Provided a mechanism for librarians to access and manage fine

  • Database Engine Design (Database)

    -

    ● Implemented database engine based on a hybrid between MySQL and SQLite
    ● Used file-per-table approach to physical storage and stored table files in a directory
    ● Built B-tree Pages Header Format

Languages

  • English

    Professional working proficiency

  • Chinese

    Native or bilingual proficiency

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