Sales Prediction Model for Food Retail -- 2

I am seeking a skilled data analyst or data scientist to develop a sales prediction model for food items sold across various stores. The primary objective is to help the retailer identify key product and outlet attributes that significantly impact sales performance.

Key Requirements:
- Utilize less than a year's worth of historical sales data.
- Analyze product sales history to identify trends and patterns.
- Develop a predictive model to forecast future sales.
- Provide insights into product attributes that drive sales increases.

Ideal Skills and Experience:
- Strong background in data analysis and predictive modeling.
- Experience with sales data and retail analytics.
- Proficiency in statistical software and programming languages such as Python or R.
- Ability to interpret data and present actionable insights.

This project does not include location-specific data, so the focus will be on product-related factors. Your expertise will be crucial in helping the retailer optimize their product offerings and improve sales outcomes.