This repository contains my data science portfolio projects for continuous learning.
- Credit Card Application Prediction: Developed a prediction model that determines whether a credit card application will be approved or denied using Logistic Regression, KNN, and Random Forest models in Python.
- Insurance Analysis: Developed an interactive Tableau dashboard to report and analyze 70K insurance claims, providing actionable insights to guide future marketing and budget decisions as a PowerPoint presentation.
- Marketing Analysis: Performed exploratory analysis and data validation of 100K sales records for a sample e-commerce company using Excel and SQL (Google BigQuery). Developed an interactive Tableau dashboard to report sales and marketing metrics.
- TTC Delay Analysis: Performed exploratory analysis and data cleaning of 40K subway delays for 2022-2023 using SQL and Tableau to investigate performance metrics, YoY KPIs, and performance strategies.
- Predicting loan repayments: Predicted whether a lender will repay their loan using decision trees and random forest.
- Classifying anonymized data: Classified anonymized data into two target classes using k-nearest neighbours (KNN).
- Predicting ad clicks: Predicted whether someone will click on an ad using logistic regression.