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Elie Park

Elie Park

Data Scientist
Toronto, Ontario

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About Elie Park:

I was born in Busan, South Korea and grew up in Toronto, Canada. Having experienced both monocultural and multicultural societies, I have always been interested in learning about perspective shifting and the cultivation of wisdom. As a recent graduate in Statistics from the University of Toronto, I'm passionate about replicating this process in AI through machine learning, and using social media scraping to examine patterns in the global climate.

Experience

As a Data Science Fellow at Springboard, I went through 600+ hours of hands-on curriculum, with 1:1 industry expert mentor oversight and completion of 2 in-depth capstone projects. I mastered skills in python, SQL, data analysis, data visualization, hypothesis testing, and machine learning.

Projects:
Obesity Prediction
- Used dummy encoding and MinMaxScaler on imbalanced survey data from the UCI repository to test three different classification models
- Developed a Logistic Regression model predicting obesity risk with lifestyle feature data for use within health care systems to recommend healthier lifestyle choices, but with 64% recall and 50% precision, inadequate for deployment without dataset improvement


Domestic Violence Prediction
- Preprocessed text from Reddit and Twitter API to individually test three different NLP models 
- Trained a Multinomial Naive Bayes model with Reddit data to predict dialogue pertaining to abuse with a recall of 99% and precision of 80%
- Built a Logistic Regression model with Twitter data to predict whether someone will stay in an abusive relationship based on their words with a recall of 88% and precision of 84%, to be used in free mental health chat rooms to warn the volunteer user of such a narrative.

Python libraries used in these projects include: Pandas, NumPy, Matplotlib, Seaborn, SciPy, Sklearn, XGBoost, Dython, Shap, Tabulate, Nltk, Collections, Textstat, Demoji, Urllib

Education

Looking back at my time at University of Toronto, my Statistics degree helped me develop math, data visualization and critical thinking skills, while my minor in Astrophysics gave me the opportunity to tackle more challenging problems with creativity and experimentation. My second minor in Buddhism, Mental Health, and Psychology reflects my core interest in humanitarian principles and the art of healing.

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