
Build accurate forecasts using time series models
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What you get with this Offer
This service focuses on analysing historical data to identify patterns, seasonality, and changes over time, and building forecasting models that support planning, budgeting, and decision-making. I work with sales, demand, traffic, finance, and operational datasets, delivering clear forecasts with explanations you can understand and use.
I use proven statistical and forecasting techniques (such as ARIMA, SARIMA, Prophet, and regression-based models) and focus on accuracy, transparency, and clear interpretation of results.
Packages
Basic: Trend & Forecast Overview
Trend and seasonality analysis with a short-term forecast, charts, and a brief written summary.
Standard: Forecast Modelling
Full time-series modelling, diagnostics, forecast scenarios, visualisations, and clear written insights.
Premium: Advanced Forecasting & Planning
Advanced or multivariate forecasting, scenario and sensitivity analysis, publication-ready charts, and a full report with reproducible workflow.
Please message before ordering to confirm data suitability, scope, time.
Get more with Offer Add-ons
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I can standard Package as described above
Additional 2 working days
+$134 -
I can premium Package as described above
Additional 3 working days
+$336
What the Freelancer needs to start the work
Buyers are required to:
1. Upload dataset (Excel, CSV, or Google Sheets link). The data must include a clear time variable (date, week, month, or period) and at least one numeric variable to analyse or forecast.
2. describe what you want to analyse or forecast (e.g. sales, demand, traffic, revenue) and the purpose of the analysis.
3. How far ahead do you want to forecast? E.g. Short-term, Medium-term, Long-term
4. What is the time frequency of your data? E.g. Daily, Weekly, Monthly, Quarterly, Other / not sure
5. How would you like the results delivered? E.g. Charts & visual forecasts, Excel output, PDF or Word report, Reproducible R / Python notebook