✨ About Me
I'm a software engineer with a strong background in data engineering and ETL development. I enjoy building predictive models, streamlining data pipelines, and creating visual insights from complex datasets. My goal is to transition into a data science role where I can make a real impact through data-driven decisions.
📊 Projects
🏈 Fantasy Football Points Prediction
Built machine learning models to predict PPR fantasy football points using player stats. Includes data wrangling, feature engineering, model evaluation, and visualizations.
Live Site GitHub Repo🔄 Customer Churn Prediction
Analyzed customer behavior data to predict churn using logistic regression, decision trees, and ensemble methods. Focused on feature selection and evaluation metrics like AUC and F1.
GitHub Repo🛠️ Skills
Languages: Python, SQL, Java, R, HTML, CSS, JavaScript
Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, XGBoost
Tools: AWS Glue, Amazon S3, Excel, Git, Jupyter, PostgreSQL, IBM DB2 Database, Tableau
📞 Contact
Email: kenjiyanabaliu@example.com
GitHub: github.com/kenjiyanaba
LinkedIn: linkedin.com/in/kenji-liu
Resume: Download PDF