FinTech & Data Analytics
FinTech & Data Analytics focuses on building applications that analyze financial data, visualize insights, and help users make smarter financial decisions. Projects in this domain involve data processing, financial dashboards, transaction analysis, and interactive visualizations using tools like Python, Pandas, and Plotly.
Skills
Technical competencies and proficiency levels in this domain.
Analytics
Data Processing
Visualization
Framework
Programming
Projects
Work completed in the FinTech & Data Analytics discipline.
MoneyMind – Personal Finance Dashboard
MoneyMind is a production-ready personal finance analysis dashboard built entirely in Python. The application allows users to upload bank transaction CSV files and automatically cleans, categorizes, and analyzes the financial data. It provides an interactive dashboard with real-time visualizations, spending trends, category breakdowns, and personalized savings recommendations. The system supports multiple bank export formats, automatically detects column aliases, merges debit/credit fields, and performs intelligent transaction categorization. The dashboard includes dynamic charts, heatmaps, spending insights, and theme customization (dark/light mode). MoneyMind helps users better understand their financial behavior, identify overspending patterns, and improve savings through data-driven insights.