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Articles by 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. Linkedin: https://www.linkedin.com/in/nankeddell/

Updated: Jan 7, 2021

Analysis and Predictions of Zillow Rental Index

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In the fast-paced world of data science, you need a little more than technical skills to transition from being a student to being hired.

Updated: Dec 5, 2020

Data Science Courses on Udemy: Comparative Analysis

While there's an abundance of many different course topics on Udemy, four...
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Updated: Oct 24, 2020

Predicting Profitability with Lending Club

Introduction: Lending Club is a peer to peer lending company that acts as...
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Updated: Oct 15, 2020

Predicting Horse Racing Outcomes

Background The horse racing community has been using quantitative data to...
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Updated: Aug 23, 2020

Starbucks Location Analysis

Since its inception in 1971 at Seattle’s Pike Place Market, Starbucks has...
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