I can help you conduct time series forecasting using Excel

Why Hire Me?

With 7+ years of experience using Excel for time series forecasting, I specialize in delivering accessible, actionable, and accurate insights for clients across sectors. I design Excel-based models that combine simplicity with analytical rigor.

Why Clients Choose Me:

• Proficient in moving averages, exponential smoothing, trend analysis, and seasonal adjustment

• Skilled in using Excel’s Data Analysis Toolpak, FORECAST functions, and pivot tables for advanced modeling

• Deliver user-friendly, interactive templates tailored to business needs

• Strong in communicating insights through clear visualizations and executive-ready summaries

• Experienced in forecasting for domains like retail sales, inventory planning, finance, and project timelines

• Reports are structured, well-explained, and formatted for both technical and non-technical stakeholders

What I Need to Start Your Work

To start your Excel-based forecasting project smoothly, I will require:

1) Project Description and Forecasting Objectives

• A clear overview of the project

• Specific questions or decisions the forecast should support

• Key performance indicators (KPIs) or business metrics to focus on

2) Time Series Data Requirements

• Data format (Excel, CSV) and file structure

• Time intervals (daily, weekly, monthly, quarterly)

• Variables to be forecasted and any known seasonal or trend components

• Note if data is already cleaned or requires preprocessing

3) Excel Forecasting Techniques

• Preferred methods: moving average, exponential smoothing, regression trendline, etc.

• Mention if you need forecasting with Data Analysis Toolpak or built-in formulas like FORECAST.ETS

• Share any existing Excel models/templates (if any)

4) Reporting Format and Details

• Required report format (Excel workbook only, or Word/PDF with explanations)

• Expected level of explanation: business summary or full statistical reasoning

• Preferred chart types and summary tables (if known)

5) Data Privacy and Compliance

• Any confidentiality clauses or NDAs

• Instructions for handling sensitive or proprietary business data

6) Timeline and Milestones

• Final delivery deadline

• Review and feedback dates (if any)

• Need for real-time updates or progress reviews

7) Communication Preferences

• Preferred communication method: WhatsApp, Email, Zoom

• Frequency of check-ins and update sharing

8) Additional Requirements or Preferences

• Formatting standards (if required for academic or corporate use)

• Domain-specific customization (e.g., retail, finance, manufacturing)

• Benchmark examples to follow or internal KPIs to align with