Full SQL project using MySQL to clean and analyze a real-world tech layoff dataset from 2020–2023.
SQL data cleaning and exploratory analysis project using real-world layoffs dataset to identify trends, remove inconsistencies, and prepare clean data for analysis.
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.
Exploratory Analysis Of Global Layoff Data using Python libraries and Power BI
End-to-end SQL projects demonstrating data cleaning, data exploration, trend analysis, ranking, aggregations, and business problem-solving using MySQL.
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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