B.Tech graduate in Computer Science specializing in Data Science & AI (in association with IBM, SRM University). Data & Automation Intern at Beagle Security where I built Sonar — a Python-based LinkedIn scraping and prospect pipeline tool processing 500+ profiles per run.

Skilled in Python, SQL, Playwright, PostgreSQL, Tableau, and Power BI. Currently completing structured Machine Learning coursework covering Pandas, NumPy, and Scikit-learn.

Open To: Data Science roles · Data Analytics roles · AI/ML intern roles

Trivandrum, Kerala, India · Mar 2026 – Aug 2026

Built Sonar — an internal tool processing 500+ LinkedIn profiles per run, automating prospect list generation using Python-based web scraping and PostgreSQL data pipelines.

• Automated manual data collection workflows using Python and Playwright, cutting ~5 hours/week of repetitive processing across internal operations
• Built multi-source data pipelines pulling from external APIs and scraped sources, enabling automated lead qualification at scale
• Designed and maintained PostgreSQL schemas and queries supporting 3+ internal reporting workflows

27 automation scripts + 2 terminal menus + 18 scheduled LaunchAgents — built to reclaim space on a 256GB Mac and make a 1TB external SSD do all the heavy lifting.

git clone https://github.com/sxrxvxnn/mac-ssd-toolkit
cd mac-ssd-toolkit && ./install.sh

Setup: Install WakaTime VS Code extension → add WAKATIME_API_KEY secret → stats appear automatically

current_focus:
  role: Data & Automation Intern @ Beagle Security
  built:
    - Sonar — Python-based LinkedIn scraper and prospect pipeline tool
    - PostgreSQL data pipelines for internal reporting workflows
    - Workflow automation scripts reducing manual processing time
  learning:
    - Machine Learning fundamentals (Pandas, NumPy, Scikit-learn)
    - Statistical modelling and inference
    - Data Science with Python
  open_to:
    - Data Science roles
    - Data Analytics roles
    - AI/ML intern roles