Long ago.... a seed π± planted from a course at the graduate school, sprouted πΏ into an interest for data discovery, grew π³ with exploratory analyses and ultimately blossomed πΈ into a aspiration to become a Data Scientist ππ©βπ¬.
- Predicting bank churn with machine learning models
- Exploratory Data Analysis and Data Cleaning of Vehicle Sales
- A/B Testing on Ads Marketing Campaign
- Analysis of Data Job Market with SQL
- 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
- 2023 Google Advanced Data Analytics Certificate
- 2022 Graduate Certificate in Project Management
- 2012 Engineer in Training Certificate