Doctor Scrapenstein's Datalab
An in-depth data tool built for internal sales teams to streamline prospecting.
The goal was to provide every salesperson with an automated tool capable of gathering and scraping data for specific brands to generate comprehensive audits and statistical analyses of pain points. Using custom algorithms, the tool identifies and prioritizes key tasks for improvement.
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Polars-Analysis-Toolkit (Custom Utility Package)
Developed a specialized Python package designed to streamline the data analysis workflow with Polars. Data exploration often requires juggling multiple libraries (NumPy, Matplotlib, Polars) with inconsistent syntaxes and manual type conversions, leading to fragmented and a lot of googling. As I grew tired of it, I built a unified wrapper that centralizes the most common statistics tools.
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