expense-analysis

Flask app for tracking expenses securely. Features authentication, transaction management, and insightful analytics for informed financial decisions.

The Ledger keeps track of your expenses so you don’t have to. Simple, secure, and mildly judgmental — powered by Firebase and a bit of sanity.

Multi-company expense tracking system with interactive dashboards, vendor management, and financial year reporting

Engineered a containerized ML platform (FastAPI + Node.js, Docker Compose) with multivariate anomaly detection (LOF, One-Class SVM, PyTorch autoencoder), category-level forecasting (XGBoost/RF/GBM), Jensen Shannon drift detection, and sentence-transformer semantic clustering via REST APIs processing 10,000+ transactions in ∼3s.

Upload a bank statement, spot suspicious transactions, analyze spending, and forecast balances. 100% client-side.

Analyzing Personal Expenses - This project uses Faker library to simulate an expense tracker, storing monthly data in a SQL database. A Streamlit app visualizes spending insights across categories like bills, groceries, and subscriptions for a year.

An interactive Excel dashboard for analysing expenses, payment methods, categories and spending patterns using Pivot Tables, charts, KPIs, slicers and conditional formatting.

Power BI financial analytics dashboard analyzing agency expense burn, recurring costs, payment risk, departmental spending, and cost optimization opportunities.

Interactive Excel dashboard analyzing departmental and regional expense patterns using KPI reporting and data visualization.