Sales Data Forecasting Analysis

I need a sharp, detail-oriented analyst to dive into my sales data and turn raw figures into clear, forward-looking forecasts that will guide upcoming business decisions. You will receive historical sales records in CSV format along with a short brief on seasonal events and promotions that may influence trends.

Your task XXXX XXXX clean and structure the dataset, explore underlying patterns, and build a forecasting model that projects monthly sales for the next four quarters. Feel free to use the toolset you’re most comfortable with—Python (pandas, scikit-learn, Prophet), R, or even advanced Excel—so long as the final method is reproducible and well-documented.

Deliverables • A concise report (PDF or Google Doc) explaining the methodology, key assumptions, and insights. • The working code or spreadsheet with clear comments so I can rerun or tweak the model. • A visualization pack (PNG or embedded charts) illustrating historic trends and the forecast range.

I value transparent communication and quick iterations, so please outline your proposed approach and estimated timeline in your first message. Looking forward to seeing how your expertise can illuminate our sales future. Budget: INR 12500–37500 Skills: Python, Statistics, Statistical Analysis, SPSS Statistics, Data Science, Data Analytics, Data Visualization, Data Analysis