I will build a forecasting or predictive model in python with clear insights
SAP Certified Data Scientist: SAP Datasphere, Power BI and Python
About this Gig
Need to know what will happen next, and why? I build forecasting and predictive models in Python and explain the results in plain English so you can act on them.
I'm an SAP Certified data scientist in Sydney with formal training in statistical inference and machine learning. I've built forecasting models and KPI dashboards for 150+ regional media clients, ROI and customer-segmentation models for a London legal-tech firm, and wait-time analysis that contributed to an 11% improvement in patient access for a healthcare network.
What you get:
- Data cleaning and exploratory analysis
- The right model for the job: regression, time-series forecasting or classification
- Honest validation: accuracy metrics, assumptions and limitations
- Key drivers explained in business terms
- Reusable notebook and code, plus a clear report or dashboard output
Good fits: sales or demand forecasting, churn drivers, campaign ROI, wait times, A/B testing.
Message me with your question and a data sample before ordering and I'll confirm feasibility and the right package.
Australia-based (AEST): same-day for AU/NZ, overnight for US and UK.
Programming language:
Python
FAQ
How much data do I need for a forecast?
It depends on the pattern. For monthly forecasts, 2–3 years of history is ideal. Send a sample and I'll confirm feasibility before you order, so you won't pay for a model the data can't support.
Can you guarantee a certain accuracy?
No honest analyst can promise accuracy before seeing the data. I do guarantee proper validation, transparent metrics, and a clear explanation of what the model can and can't tell you.
Do I get the code?
Yes. Standard and Premium include the notebook and code, so you can re-run the model with new data.
Can results go into Power BI or Excel?
Yes. Premium includes a Power BI or Excel output of the forecasts and scenarios.
