Skip to content
View anuj-data-lab's full-sized avatar
💭
🛡️ Architecting data infrastructure
💭
🛡️ Architecting data infrastructure
1 follower · 0 following
  • Joined Apr 28, 2026

Highlights

  • Pro

Block or report anuj-data-lab

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
anuj-data-lab/README.md

🔬 Anuj Data Lab

Data Engineering | Mathematical Auditing | Automated Extraction

Welcome to the Lab. I build resilient data infrastructure for businesses that require high-integrity market intelligence. I do not just scrape data; I extract, audit, and structure it for enterprise deployment.

⚙️ The Arsenal

  • OVERSEER_V2: A statistical anomaly detection engine using Z-score mathematics to audit datasets for market intelligence and risk management.
  • MERCENARY_V1: A stealth web scraping engine engineered with Python and Selenium to bypass modern bot protections.
  • IRONCLAD_ETL: (In Development - Enterprise Database Pipeline)

🛠️ Technical Stack

  • Languages: Python, SQL
  • Data Processing: Pandas, NumPy
  • Extraction: Selenium, BeautifulSoup
  • Infrastructure: SQLite, Relational Database Modeling

Pinned Loading

  1. AEGIS_V1 AEGIS_V1 Public

    AEGIS_V1: An automated Model Risk Management engine using Kolmogorov-Smirnov statistical tests to detect data drift in production AI systems.

    Python

  2. OVERSEER_v2 OVERSEER_v2 Public

    OVERSEER_V2: A Python-based statistical anomaly detection engine using Z-score analysis to audit large datasets for market intelligence and risk management.

    Python

  3. IRONCLAD_ETL IRONCLAD_ETL Public

    IRONCLAD_ETL: A robust Python-based data pipeline designed to extract messy web data, validate integrity with custom logic, and load structured payloads into secure SQL databases.

    Python

  4. MERCENARY_V1 MERCENARY_V1 Public

    MERCENARY_V1: A stealth web scraping and automated data extraction engine engineered with Python and Selenium to bypass modern bot protections.

    Python