Overview
This was my entry for DataCamp's Everyone Can Learn Data Scholarship 2023 — the one that got me the scholarship. Two-part analysis: first, a Python EDA on a fossil records dataset using Pandas, NumPy, Matplotlib, and Seaborn to surface patterns across geological periods. Second, an SQL analysis on the IMDB database using joins, aggregations, window functions, and subqueries to answer questions about film trends. Not the flashiest project, but it's the one that started everything.
Gallery