Data Scientist

Chau Dao

•San Francisco • *** – *** – **** • *********@*****.*** • in/chau-dao • Github/Charlotte1904 Silicon Valley Bank, San Francisco

Data Science Contractor, March 2017 – current

• Building corporate credit card fraud detection system with 98% f1 score

• Conducting risk/reward trade-off of declining a transaction that saves the company $3.2M/month

• Technologies Used: Python, SQL, Pandas, Keras, Scikit-learn AlwaysHired, San Francisco

Business Operations Analyst, December 2015 – April2016

• Created analysis model to optimize resource allocation and predict client outcomes

• Analyzed data from the monthly statistics to identify profitable marketing channels to maximize ROI

• Established key performance metrics to provide insights and set business strategy Verlocal, San Francisco

Business Development Intern, December 2015 – March 2016

• Generated marketing leads through online channels

• Identified potential leads through marketing research of regional area Question Answering System

• Generated answers (segments of text) from "reading" a passage using Natural Language Processing and Deep Learning technique with 80% f1 score

Meetup Trend Prediction

• Built a production-ready streaming and predicting pipeline using MeetupAPI and AWS

• Predicted in real-time the next industry-specific trend and tracked its popularity over time through interactive time-series graphs

• Discovered the emergence of a new community (category) in a city using Network Graphs Yelp User Classification

• Implemented Natural Language Processing and Machine Learning techniques to identify business benefits of granting elite status to users

• Successfully classified users with 98% in f1 score and 99.8% in accuracy Movie Recommender System

• Built a movie recommender from scratch by implementing Singular Value Decomposition in Numpy University of New Haven - Master of Science in Data Science, 2017 San Francisco State University - Bachelor of Art in Business Management, 2015

• MACHINE LEARNING: Deep Learning/Neural Networks, Classification, Regression, Clustering, Natural Language Processing, Anomaly Detection, Feature Engineering, Dimensionality Reduction

• LANGUAGES: Python, SQL

• DATABASES: HDFS, MongoDB, MySQL, PostgreSQL, Spark

• DATA TOOLS: Pandas, Scikit-learn, Tensorflow, Keras, Numpy, NLTK, Spark, Plotly, Seaborn, Matplotlib EXPERIENCE

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