I will build a sales forecasting model
AI AND ML
About this Gig
Turn your sales data into reliable forecasts.
Predicting future sales, demand, or inventory needs shouldn't be guesswork. I build time-series forecasting models that learn from your historical data and produce forecasts you can actually use for planning.
What you get:
- Clean, structured data ready for modeling
- Feature engineering with lag values, rolling averages, and seasonality patterns
- A trained forecasting model evaluated with metrics such as MAE, RMSE, and MAPE
- Time-aware validation to avoid data leakage and inflated results
- Clear Actual vs Predicted reports
- Full, documented Python source code you can reuse or extend
Best for sales forecasting, demand planning, inventory forecasting, retail, and e-commerce data.
My portfolio includes a real end-to-end forecasting project with feature engineering, cross-validation, regression modeling, and evaluation.
Send your dataset and forecasting goal, and I'll review the scope before we start.
Expertise:
Feature learning
•
Decision trees
•
Predictive analysis
Programming language:
Python
Frameworks:
Scikit-learn
•
Panda
Tools:
Jupyter Notebook
•
Excel
My Portfolio
FAQ
What data do you need to start?
Generally I require your dataset in CSV, Excel, etc format. Add a short description of each column and you goal for forecasting. The cleaner and more complete the data, the better the outcomes.
Can you guarantee prediction accuracy?
No. Machine learning algorithms cannot guarantee a certain accuracy. Their performance depends on the quality, quantity and consistency of your data. I will test the model by relevant regression metrics and provide the best solution to your data set.
Which forecasting algorithms do you use?
it depends on your dataset, I select the model that fits your data's structure and forecasting goal best.
Do you work with confidential business data?
Yes. Your data will be kept private and will be used solely for the purpose of completing your project.
