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.
Search any tool, technology, or domain below. If I have real experience with it, you'll see exactly where and how I've used it — no guessing.
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 dark-mode dashboard for tracking every job application. Log status, salary, notes, and links. Store employment history for quick reference. Export to JSON and import it back on any device.
Material inventory tracker for makers and 3D printers. Log filament, hardware, lumber, and supplies with photos and quantities. Auto-generates a reorder list when stock runs low.
Python script that pulls live job listings, scores each one against your resume using Claude AI, and emails you only the top matches — 8/10 or higher. Set it up once and run it daily.
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.