I like to write, and LLMs make it even better.
This page reflects some of my notes while learning & working with different data types.
DATA DUMP
Credit / Debit-Card Transaction Panels
Finding relevant features within credit/debit card data based on identifiers, temporal, transaction content, merchant, behavioral rolling, customer profile, clustering
News on Webull
Finding relevant features within news headlines based on headline content, event annotations, publisher metrics, temporal context, behavioral signals, interheadline relations
Twitter / X
Finding relevant features within tweets based on metadata, sentiment, volume, user diversity, topic, engagement, volatility