A final-year Computer Science undergraduate with a strong analytical foundation and hands-on experience in data-driven projects. Highly adaptable, quick to learn new technologies, and committed to delivering impactful so…
A final-year Computer Science undergraduate with a strong analytical foundation and hands-on experience in data-driven projects. Highly adaptable, quick to learn new technologies, and committed to delivering impactful solutions in the IT industry.
Tools: Python, Pandas, Scikit-learn (Random Forest),
Matplotlib
-Implemented a machine learning-based sales
forecasting model to predict future retail demand using
historical data.
-Performed data preprocessing, feature engineering,
model training using Random Forest Regression, and
evaluated performance using error metrics to support
business decision-making.
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