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aprilhong/README.md

My Tale

Long ago.... a seed 🌱 planted from a course at the graduate school, sprouted 🌿 into an interest for data discovery, grew 🌳 with exploratory analyses and ultimately blossomed 🌸 into a aspiration to become a Data Scientist 📈👩‍🔬.

Data Science Projects

  1. Predicting bank churn with machine learning models
  2. Exploratory Data Analysis and Data Cleaning of Vehicle Sales
  3. A/B Testing on Ads Marketing Campaign
  4. Analysis of Data Job Market with SQL

Skills

  • Programming Languages: Python, SQL, HTML, CSS
  • Python Packages: numpy, pandas, scipy, seaborn, matplotlib, statsmodels, scikit-learn
  • Machine Learning Models: Regression (linear, logistic), Naive Bayes, Decision tree, Random Forest, AdaBoost, XGBoost
  • Tools: PostgreSQL, MySQL Workbench, Jupyter Notebook, Visual Studio Code, Conda, Github, IntelliJ IDEA, Tableau, PowerBI, Excel

Certificates

  • 2023 Google Advanced Data Analytics Certificate
  • 2022 Graduate Certificate in Project Management
  • 2012 Engineer in Training Certificate

Pinned Loading

  1. ads_abtest ads_abtest Public

    Ads Marketing AB Testing

    Jupyter Notebook

  2. bankchurn bankchurn Public

    Predicting bank churn rates with machine learning models (decision trees, random forest, & xgboost)

    Jupyter Notebook

  3. datajobs datajobs Public

    Jupyter Notebook

  4. vehiclesales vehiclesales Public

    Exploratory Data Analysis & Data Cleaning of Vehicle Sales Dataset

    Jupyter Notebook