Security in motion and at rest — built in Python 🛡️
I built Sec-Toolkit, a two-layer security tool designed to keep data
safe everywhere it goes:
🔹In-Transit:
Verifies request signatures, validates user tokens, and checks web
security headers.
🔹At-Rest:
Encrypts sensitive...
🚀 Built a Multi-Touch Attribution Engine & Dashboard
Measuring marketing impact across multi-touch customer journeys is a tough data challenge. I built Vectra Analytics to solve this—a platform that models cross-channel performance using statistical attribution models.
Tech...
I developed a Python CLI focused on applied cryptography (Applied Cryptography Toolkit v0.2.0).
Demonstration of the security pipeline in action:
° File encryption and decryption using AES-256-GCM
° Preservation of original file integrity
° State validation via SHA-256 Hash...
Built a CLI Python tool (sanitizer.py) to sanitize sensitive data in logs and datasets before storage or analytics pipelines.
Highlights:
° Speed: Processed 82k+ lines (~10MB) in 2.2s in masking mode (~37k lines/sec).
° Security: Native Fernet encryption using Python’s cryptography library with auto key generation.
° Flexibility: Easily switch between field masking and full encryption.
Fast PII protection without slowing down processing pipelines.
#Python #DataProtection #Cybersecurity #Cryptography #DevOps