Developed interactive Power BI dashboard using twelve months bank statement data, visualizing income, expenses, and savings trends while tracking monthly financial patterns to support strategic planning, improve budgeting accuracy, and enable efficient personal financial resource allocation decisions.
• Power BI
• Data Visualization
• SQL
• Data Analysis
• Financial Analytics
Cleaned and structured global layoffs dataset (2020–2023) using MySQL, building staging tables to preserve raw data, enabling repeatable workflows, improving data integrity, and supporting accurate analysis of workforce reduction trends across companies, industries, and countries.
• MySQL
• Data Cleaning
• Data Modeling
• ETL Workflow
• Data Integrity
Developed end-to-end machine learning pipeline predicting individual credit default risk using XGBoost and LightGBM, integrating SHAP explainability techniques and evaluating performance with ROC-AUC, F1-score, and accuracy metrics to ensure reliable, transparent, and optimized predictive modeling outcomes.
• Python
• Machine Learning
• XGBoost
• LightGBM
• Model Evaluation