Full SQL project using MySQL to clean and analyze a real-world tech layoff dataset from 2020–2023.
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Updated
May 15, 2026
Full SQL project using MySQL to clean and analyze a real-world tech layoff dataset from 2020–2023.
An end-to-end MySQL project focused on data engineering pipelines and exploratory data analysis (EDA) using the global tech layoffs dataset to uncover macroeconomic insights.
SQL data cleaning and exploratory analysis project using real-world layoffs dataset to identify trends, remove inconsistencies, and prepare clean data for analysis.
Layoff-risk predictor for US public companies. Reads SEC filings, earnings calls, and news. Returns a CLEAR / WATCH / LIKELY / ACTIVE risk score.
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