Analytics, AI & Finance Projects
Selected projects in financial analytics, Python visualization, machine learning, accounting systems, and business process improvement.
Selected projects in financial analytics, Python visualization, machine learning, accounting systems, and business process improvement.
The project involved data exploration, feature analysis, stratified sampling, data preprocessing, model training, hyperparameter tuning, performance evaluation, and comparative analysis across multiple machine learning algorithms.
The project included exploratory data analysis, stratified sampling, feature standardization, model tuning, learning curves, confusion matrices, runtime comparison, and class-imbalance evaluation.
Models evaluated included Decision Trees, k-Nearest Neighbors, Support Vector Machines, Scikit-learn Neural Networks, and PyTorch Neural Networks.
Performance was measured using Accuracy, Macro-F1 Score, Balanced Accuracy, learning curves, confusion matrices, and computational efficiency metrics to identify the most effective classification approach.
RBF Support Vector Machine
80.15%
0.6943
Skills demonstrated: Python, pandas, NumPy, scikit-learn, PyTorch, supervised machine learning, model evaluation, data preprocessing, bias-variance analysis, and machine learning reporting.
View Full Project Report (PDF)Note: This project demonstrates the application of machine learning, statistical analysis, and Python programming ot a large-scale real-world classification problem. This project is provided for educational and professional portfolio purposes. Source code is not publically released in accordance with academnic integrity guidelines.
Developed interactive stock market visualizations using Python to analyze Amazon historical pricing data, including open, high, low, close, and adjusted close performance trends.
Skills demonstrated: Python, pandas, financial data analysis, visualization, trend review, and investment analytics.
Built financial analytics charts to support investment research, trend analysis, and financial modeling practice through data-driven visualization techniques.
Skills demonstrated: market trend analysis, financial modeling, Python visualization, and investment research.
Developed budgeting, forecasting, variance analysis, and cash-flow planning models to support management reporting and business decision-making.
Skills demonstrated: Excel modeling, budgeting, forecasting, variance analysis, and financial reporting.
Supported accounting system improvement projects involving data mapping, account reconciliation, chart of accounts alignment, multi-entity reporting, and migration support.
Skills demonstrated: NetSuite migration support, reconciliation, data validation, accounting operations, and process improvement.