Michael Nguyen

Data Scientist

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Data Science professional with a passion for creative problem solving through data analysis. Quick learner possessing extensive analytical skills, strong attention to detail, and a significant ability to work in team environments. Highly accurate and adept at collecting, analyzing, and interpreting large datasets, developing new forecasting models, and performing data management tasks for data driven decisions and products.

Currently seeking internships and full time opportunities. Graduated with a Master of Engineering degree in Data Science at University of Toronto.

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Predictive Modelling with Financial Time Series Data

GitHub Repository Link: https://github.com/mikonguyen/Time-Series-Prediction

Overview

The goal of this project was to develop predictive model for predicting the future cumulative returns of IJH iShares Core S&P Mid-Cap and IJR iShares Core S&P Small-Cap ETF’s.

Collected, analyzed, and interpreted stock time series data from Wharton Research Data Services (WRDS) to train and tune an XGBoostClassifier model using scikit-learn in Python.

Results

Tools Utilised