Banking-Transaction-Fraud-Analytics- AnkitSaini491 · COMPLETED
Developed a banking fraud analytics system to analyze transaction patterns, detect suspicious activities, calculate customer risk scores and identify high-risk transaction types and locations using Python, Pandas, NumPy and Matplotlib.
github.com/AnkitSaini491/Banking-Transaction-Fraud-Analytics- · ★ 4 · Forks 0 · Size 14 KB
SUMMARY
Technologies 5
Scored 5
Observed 5
Practices 6
Evidence 6
Skips 0
COVERAGE
Analyzed 6 files · 9 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
1 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 54
1 files · PRODUCTION
pandas LIBRARY Depth 54
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-08-28
Last commit 2026-08-28
Active months 1
Commits 9