Sales Forecasting & Optimization Project

•Sales Forecasting & Optimization Project:

•Performed in-depth exploratory data analysis to identify trends, seasonality, and key drivers of car sales.

•Conducted correlation analysis between sales and factors like promotions, weather, and holidays.

•Trained and validated multiple forecasting models (ARIMA, XGBoost, Prophet), achieving high prediction accuracy.

•Deployed a Streamlit web app for real-time sales forecasting with integrated model monitoring, improving sales prediction accuracy by 15% and enabling real-time decision-making for stakeholders.

•Collaborated in a team using MLOps tools (MLflow, DVC) for model tracking, deployment, and performance reporting.