Haoxi Huang

Data Engineer at Voice Systems Engineering
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Contact Information
us****@****om
(386) 825-5501
Location
US
Languages
  • English -
  • Chinese (Simplified) -
Skills

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Bio

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Credentials

  • Neural Networks for Machine Learning
    Coursera
    Oct, 2018
    - Oct, 2024

Experience

  • Voice Systems Engineering
    • United States
    • Consumer Services
    • 1 - 100 Employee
    • Data Engineer
      • Jan 2017 - Present

      • Established real time recommendations utilizing implicit feedback and side information in a learning to rank, factorization-based framework which automatically running on Azure cloud • Predicted repeat buyer possibilities with medium sized datasets (hundreds of millions of samples, thousands of features) • Established real time recommendations utilizing implicit feedback and side information in a learning to rank, factorization-based framework which automatically running on Azure cloud • Predicted repeat buyer possibilities with medium sized datasets (hundreds of millions of samples, thousands of features)

  • myKlōvr
    • United States
    • Education Administration Programs
    • 1 - 100 Employee
    • Data Analyst
      • Sep 2016 - Jan 2017

      • Modeled student performance by quantifying weighted feature matrix of their related academic, professional and personal behaviors • Applied supervised machine learning methods to predict the student’s performance based on the models • Researched evaluation methodology of student performance models • Created a Python spider that can scrap public job postings, related companies' information and employees’ reviews by changing search job titles and locations, and saved them into MongoDB • Developed and implemented a student job recommendation system using NLP and vector similarity techniques • Delivered job recommendation outcomes as a web application using Flask, Javascript and D3

  • Fordham University
    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Teaching Assistant
      • Sep 2016 - Dec 2016

      • Established the Course Framework with the professor.• Developed Python code and tutorial for lab session• Taught 6 different Labs concerning TwitterAPI, BeautifulSoup Python package, Gephi, Google Analytics• Consulted and assisted about 8 different students group projects

    • Research Assistant
      • Mar 2016 - Dec 2016

      • Trained intensively in data science problem-solving approaches common in industry• Designed Python programs to process and clean messy user click-through data that scrapped from a major Chinese mobile application online platform’s server with ten million monthly user activities• Researched and implemented recommendation system framework including popularity, traditional, expert, trending, novel and event recommendation algorithms based on the cleaned user click-through data• Evaluated the built recommendation algorithms using performance metrics such as precision, recall, accuracy and F1 score• Studied to utilize user tagging and user profiling methods in personalized recommendation system building

    • Graduate Teaching Assistant
      • Feb 2016 - May 2016

      • Established 3 new programming labs tutorials concerning NLTK Python package• Developed Python code and tutorial for lab session• Taught 6 different Labs concerning NLTK (Natural Language Processing) Python package, Sentiment Analysis with Sementria, Meaning Cloud and Lexicon Dictionary, IBM® SPSS Text Statistics, Weka, etc• Consulted and assisted 16 different students group projects

  • NYC Department of Design and Construction
    • United States
    • Construction
    • 500 - 600 Employee
    • Data Analyst, Internship
      • Jan 2016 - Sep 2016

      • Used Python Pandas scripts to clean a dataset with over 16,000 records into a structured form appropriate machine learning • Built the statistical prediction model for DDC change order budget and delivered the project as a web app using Flask • Presented to client on a weekly basis using Tableau and Python Seaborn package • Used Python Pandas scripts to clean a dataset with over 16,000 records into a structured form appropriate machine learning • Built the statistical prediction model for DDC change order budget and delivered the project as a web app using Flask • Presented to client on a weekly basis using Tableau and Python Seaborn package

Education

  • Fordham University
    Master's degree, Business Analytics
    2015 - 2016
  • Southeast University
    Bachelor's degree, Mathematics and Applied Mathematics
    2010 - 2014

Community

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