Data Science Portfolio

This repository contains my data science portfolio projects for continuous learning.

Data Projects

Machine Learning (Python)

• 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.

Reporting and Dashboards (SQL, Tableau, Excel)

• 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.

Learning Projects

Machine Learning (Python)

• 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.