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NYC Data Science Acedemy | Blog
On Campus
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  • Data Science Bootcamp
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  • Introductory Python
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    • blog > authors > Nan(Lainey) Liu
    Nan(Lainey) Liu

    Nan(Lainey) Liu

    Nan(Lainey) is a master student at New York University studying Financial Engineering. She is passionate in the applications of machine learning technique in financial industry eg. High-Frequency Trading, Option Pricing. Nan developed a shiny app to research on Momentum Trading and Replicating Option Strategy, and she scraped IMDB and Wikipedia to analyze original contents produced by Netflix, Hulu, and Amazon. She collaborates with three group members on Kaggle Competition: predicting housing price. For the Capstone project in NYCDSA, her team implemented machine learning to match mentors and mentees from BuiltByGirls. She also has past experiences with economic research, trading, financial statement, and public speaking. Nan passed both CFA level 1 and Series 57 in 2016.

    Articles Contributed by Nan(Lainey) Liu
    Student Works

    Transactional Cost on High Frequency Trading

    by Nan(Lainey) Liu
    May 12, 2018
    Special thanks to my great teammate, Qiang Ji. This research explores two execution approaches i.e Market Taking and...
    Continue Read
    Capstone

    Mentor Matching using Machine Learning

    by Zipporah Polinsky-Nagel, Gregory Brucchieri, Marissa Joy, William Kye, Nan(Lainey) Liu, Ansel Andro Santos and Merle Strahlendorf
    Mar 27, 2018
    I. Introduction For our group's capstone project, we consulted with #BuiltByGirls, a non-profit organization that connects young students...
    Continue Read
    Machine Learning

    Predicting House Prices Using Machine Learning Algorithms

    by Neha Chanu, Fatima Hamdan and Nan(Lainey) Liu
    Mar 19, 2018
    Introduction Inspired by the accomplishments of the women in the movie, “Hidden Figures” we named our team after...
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    Student Works

    Original TV Shows

    by Nan(Lainey) Liu
    Mar 8, 2018
    Since the streaming service is gradually replacing the traditional TV, streaming companies started to produce their own TV...
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    R

    Moving Average Trading Simulation and Optimization

    by Nan(Lainey) Liu
    Feb 5, 2018
    Goal: To have an app that simulates moving average trading strategy and optimizes the moving average pair during a...
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