Sehrish Khalid
Data Analyst | Power BI | SQL | Excel
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This repository contains a comprehensive data analysis project focused on Time Series Forecasting and Statistical Anomaly Detection. The analysis tracks asset performance (specifically Close prices) over a multi-year period (2015–2021) to capture long-term growth trends, evaluate seasonal variance by month, and isolate periods of extreme market volatility.
By leveraging moving window techniques and statistical thresholds, this project successfully flags 69 key anomaly points where market behavior diverged significantly from historical averages.
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A complete SQL project built from scratch — designing a star schema data warehouse, inserting real sales data, and writing analytical queries to answer business questions.
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Statistical analysis and A/B testing of marketing campaign performance using Python, SciPy, and Matplotlib. Validates conversion rate improvements through Chi-Square testing to drive data-informed business decisions.
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This is a full case study of Myntra Fashion Product Performance & Sales Insights.
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