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  • New York University
  • New York

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  1. Multi-Sector-Stock-Forecast Multi-Sector-Stock-Forecast Public

    ● Retrieved companies' stock data ● Applied time series analysis with Python (numpy, pandas, scikit-learn, matplotlib) : fitted ARIMA and SARIMA models on training data ● Implemented the machine le…

    Jupyter Notebook 2

  2. CRS-Project CRS-Project Public

    Designed a system that can store data of courses and registered students, which also allows students and administrators to log in and retrieve information/make modifications. Utilized different co…

    Java 1

  3. Exotic-Option Exotic-Option Public

    ● Designed a lookback call option based on the Coca-Cola Company’s stocks ● Utilized the Geometric Brownian Motion (GBM) model and conducted Monte Carlo simulation to ascertain the pricing of the e…

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  4. Data-Analytics-with-R Data-Analytics-with-R Public

    use the tidyverse and ggplot libraries to clean and analyze data in R

    R 1

  5. Spotify-Genre-Prediction-with-Machine-Learning Spotify-Genre-Prediction-with-Machine-Learning Public

    1.Downloaded Spotify music data, cleaned missing values, preprocessed data with label encoding and standardization 2. Utilized Python and machine learning algorithms (T-SNE and UMAP) for dimensiona…

    Jupyter Notebook 1

  6. Emerging-Market-Stock-Portfolio-Optimization-with-Machine-Learning Emerging-Market-Stock-Portfolio-Optimization-with-Machine-Learning Public

    Integrated foundamental and technical analysis and machine learning in emerging market portfolio optimization

    Jupyter Notebook 1