Mobile In-App Purchase Prediction
Predict user purchase within next 7 days and 14 days. Use time series feature engineering and a stack of classifers to boost the performance.
About Me
A passionate data science practitioner
My Resume :)
I'm a passionate and self-driven data science practitioner based in San Francisco, CA.
I'm working extensively on data analytics, applied ML and NLP.
Skills I Have
Mixed background with DS, Economics and Finance
Use Machine Learning to Learn the Business
Machine Learning projects applied to real-world business problems. Focus is on exploratory data analysis, feature engineering and modeling
Google Analytics Customer Revenue Prediction
Use session-level data to predict user-level e-commerce revenue for Google GStore.
Apply NLP to Read the World
NLP-related projects including topic modeling, keyword extraction and sentiment analysis.
Keyword Extraction Tool
Flexible multigram non-consecutive keywords extraction tool applied to identify customer concerns.
Newsfeed Product Development
Analytic newsfeed product with controversy of topics and author's impact analysis.
Explore Data Science
Other data science projects including distributed data system, time series analysis, data visualization, algorithm implementation and web scraping etc.
Distributed NYC Parking Tickets Clustering Analysis
Parking violation clustering based on car characteristics and travel time. Compare the financial and time efficiency of different AWS EMR configurations. Paper has been accepted by the 3rd IEEE SCI.
Canada Bankruptcy Rate Prediction
Predict 3 years bankruptcy rate in Canada using different traditional time series models.
Data Visualization: Airbnb in SF
Analyze the geographic pattern and host characteristics of Airbnb listings in San Francisco using Tableau.
Machine Learning Algorithm Implementation
Implement isolation forest, gradient boosting ... from scratch
Qichacha Web Scraping
Scrape company public information using Scrapy