I will forecast your sales or demand using machine learning
AI, Data Science, Cloud Deployments
Vetted by Fiverr Pro
Chris Collins was selected by the Fiverr Pro team for their expertise.
Vetted for
Data Science & ML
About this Gig
Vetted Pro
Forecasting done badly creates stockouts, overstocking, and missed revenue targets. Forecasting done well lets you staff, buy, and plan with confidence. I build forecasts you can actually operate on.
I'm a data scientist with 10+ years of experience, including forecasting work at a logistics startup (Head of Data Science) and at Glovo. I use whatever works for your data ARIMA and ETS for short clean series, XGBoost and LightGBM for multi-variate problems, LSTMs where they genuinely help.
What you get:
- Point forecasts with confidence intervals (not just a line on a chart)
- Backtesting on hold-out data so you know the real error rate
- Feature importance showing what actually drives demand
- Clean, documented code
- Optional scheduled retraining and a monitoring dashboard
Typical use cases: retail demand planning, inventory, staffing, e-commerce, marketplace capacity planning, subscription MRR forecasting.
Before ordering, send a quick message with your data shape (how many series, history length, granularity) so I can confirm the right package.
Expertise:
Feature learning
•
Predictive analysis
Programming language:
Python
•
Amazon SageMaker
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
APIs:
Amazon Rekognition
Tools:
TensorFlow
•
MLflow
•
Amazon SageMaker
My Portfolio
Other Data Science & ML Services I Offer
FAQ
How much history do I need?
12+ months is ideal. I can work with less but accuracy drops; I'll tell you honestly before you order.
Can you forecast multiple products/locations at once?
Yes — hierarchical and multi-series forecasting is my Standard and Premium package.
Do you include external factors (weather, promotions, events)?
Yes, if you can provide them. I'll engineer features from the ones you supply.
What accuracy can I expect?
Varies by series. For stable retail demand, MAPE of 5–15% is common; for volatile new products, 20–40%. I report real backtest numbers, not hopeful ones.
Can you deploy this as a live system?
Yes — that's the Premium package, including retraining and monitoring.
