Real problems. Real data. Real results. Each project below showcases the type of analysis, tools used, and the impact delivered for the client.
Built a 6-month sales forecasting model for an e-commerce retailer using ARIMA and Prophet, improving inventory planning accuracy by 32%.
20-page statistical report analyzing purchasing patterns for a retail chain, identifying 4 distinct customer segments and revenue opportunities.
Cleaned and standardized a 120,000-row patient records dataset, reducing data errors by 94% and enabling accurate statistical analysis for a medical research team.
Created 18 custom charts and a structured visual report for a digital marketing agency's monthly client report, covering traffic, conversion, and ROI metrics.
Delivered 12-month demand forecasts for 3 product lines using Random Forest regression, achieving 89% forecast accuracy on validation data.
Performed descriptive and inferential statistics on a 500-respondent survey for a university research project, including correlation and normality testing.
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