Dhavalkumar Dineshbhai Sukhadiya

• Developed and deployed machine learning models (Random Forest, XGBoost) to improve sales forecasting and inventory planning. • Achieved a 20% increase in forecast accuracy, reducing stockouts by 15% during peak demand periods. • Incorporated seasonality, regional trends, and external factors to enhance prediction precision. • Automated data preprocessing and model updates using Python (Pandas, NumPy) for improved efficiency.