Scandal Murty — Data Analyst with a deep understanding of inventory systems and data, built across aerospace manufacturing, retail operations, and specialized coursework. Years working inside both industries gave me a ground-level view of how organizations procure, track, and move materials — and the gaps where better data makes the difference. I have a genuine passion for understanding how hardware and software interact, and a drive toward precise organization whether I'm working with physical components or a dataset. That combination — operational instinct, systems thinking, and analytical rigor — is what drives me to find actionable, data-driven insights using the right tools for the job, from SQL queries to Python pipelines.
Analyzed 545,000+ retail transactions across 40+ countries to uncover revenue trends, top-performing products, and high-value customers. Built end-to-end in Python using pandas for data cleaning and transformation, with matplotlib and seaborn for visualization.
A fully automated job search pipeline built in Python. Pulls live listings daily from multiple job board APIs, scores each one against a resume using Claude AI, and delivers only the strongest matches (8/10+) via a formatted email digest.
I bring aerospace-grade attention to detail to every dataset. Let's talk about how I can help your team turn raw data into clear decisions.