Hi, I'm Candy 👋

Uncover patterns and building predictions

Using data, algorithm, machine learning

and AI techniques

I am studying Operation Research and Information Engineering at Cornell University. I am a data scientist with two years of experience translating terabyte datasets into actionable insights for finance, e-commerce and tech companies. I am passionate about solving complex business problems through data analytics to give measurable recommendations.

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Work

Credit Card Detector

Build a credit card detector with logistic regression to correctly identy the fraudulent transactions

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MovieLens Rating Prediction

Built a recommender system for the MovieLens dataset based on 1 million user reviews using KNN and SVD in python

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The Landing Page Optimization for the homedepot.com

Optimized the landing page destination for traffic entering HomeDepot.com to maximize conversion, gross demand and interaction rate by identifying the optimal landing page type of purchasing journey with Markov Chain.

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About Me

I am studying Operation Research and Information Engineering at Cornell University. I am a data scientist with two years of experience translating terabyte datasets into actionable insights for finance, e-commerce and tech companies. I am passionate about solving complex business problems through data analytics to give measurable recommendations.

I have been living in the San Diego for 6 years and enjoy the sunshine and beach in California! Then I moved to New York for graduate school, living in the Ithaca for a year.

I like surfing and watching movies.

about

Skills

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Python: Pandas, Numpy, Sicket-Learn, Seaborn and Matplotlib

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Hadoop: MapReduce, Hive, Pig and HDFS

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SQL

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Java

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R

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STATA

Work

The Home Depot, Goal Structured Solutions, Inc.(GS2), PricewaterhouseCoopers(PwC)