1.Engineered a machine learning model that improved price prediction accuracy, using features such as brand, specifications, and market trends to provide precise forecasts.
2.Integrated real-time prediction functionality, which expedited the time to market for new laptops by 20%, enhancing operational efficiency and market responsiveness.
3.Applied advanced algorithms, including Linear Regression, Random Forest, Gradient Boosting Regressor, and XGBoost Regressor, achieving a boost in model performance compared to previous benchmarks.
4.Refined model accuracy through extensive validation and feature engineering, resulting decrease in prediction error and more reliable pricing insights.
5.Facilitated competitive market positioning and informed strategic product development by deploying a robust predictive model, leading to a 10% increase in market share.