I will build a machine learning forecasting model in python


About this gig
I will build a custom machine learning forecasting model in Python that predicts your sales, demand, revenue or any other business metric from your own data.
What you get
- Sales, demand, stock or traffic forecasting
- Time series models (ARIMA, Prophet, XGBoost, LSTM)
- Data cleaning and feature engineering
- Accuracy report with clear charts (MAE, RMSE, MAPE)
- Clean, commented Python code or Jupyter notebook
- Optional API (FastAPI) or dashboard for live predictions
Who is this for?
- E-commerce and retail stores
- SaaS products and startups
- Finance, inventory and supply chain teams
What I need from you
- Your data (CSV, Excel or database export)
- What you want to predict, and how far ahead
Why work with me? I am an AI/ML engineer with 2+ years of experience building production ML models. I explain results in plain language and reply fast.
Not sure which package fits? Message me first with a sample of your data.
Get to know Mehmood R.
AI Engineer Specializing in ChatGPT Automation and Web Development
- FromPakistan
- Member sinceJan 2019
- Last delivery4 years
Languages
English
My Portfolio
FAQ
What data do I need to provide?
Historical data in CSV, Excel or a database export, ideally with dates and the value you want to predict. At least 1 year of history gives the best results. Not sure if your data is enough? Send me a sample first.
How accurate will the forecast be?
Accuracy depends on your data quality and history. I test several models, pick the best one and give you a clear report (MAE, RMSE, MAPE) so you know exactly how reliable the predictions are.
Can you connect the model to my website or app?
Yes. In the Premium package I wrap the model in an API (FastAPI) or a simple dashboard, so your website, Laravel app or team can get live predictions.

