Data analyst & scientist with over 3 years of experience in analysis, visualization, machine learning, and AI. Proficient in Python, SQL, data pipelines, machine learning, LLM, and computer vision (CV). Passionate about leveraging data science to make the world more efficient and effective.
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Machine Learning
Kaggle: Ames House Prices Prediction (Ridge, Support Vector Machine, Voting Regression)
Twitter NLP Sentiment Analysis (Tweepy, TextBlob, NLTK, WordCloud)
Kaggle: Spaceship Titanic (LightGBM, CatBoost, Vote Classifier)
YVR Energy Usage Forecast (ARIMA, ETS model)
Lung Cancer Mortality Rate Prediction (Linear Regression, XGBoost)
Dashboard
Google-UBC MBAN Hackathon – ABD Liquor Sales (ARIMA, GCP, Looker, BigQuery)
Data Analysis
ML Engineer Data Scientist Data Analyst UBC MBAN '23