You will get I will build a Python forecasting model for sales or inventory
Project details
I will build a practical Python forecasting model for sales, inventory, demand, or operations data.
This project is useful when you have historical data and want a clear forecast for upcoming weeks or months. I can help prepare the dataset, create a baseline forecasting model, compare performance, and deliver forecast outputs with charts and notes.
The goal is not just a model file, but a simple forecasting workflow you can understand and reuse for business planning.
This project is useful when you have historical data and want a clear forecast for upcoming weeks or months. I can help prepare the dataset, create a baseline forecasting model, compare performance, and deliver forecast outputs with charts and notes.
The goal is not just a model file, but a simple forecasting workflow you can understand and reuse for business planning.
Machine Learning Tools
pandas, Python, Python Scikit-Learn, XGBoostWhat's included
| Service Tiers |
Starter
$35
|
Standard
$90
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Frequently asked questions
About Safi
Data Scientist | AI Engineer | LLM | RAG | Agentic AI | LangChain
Istanbul, Turkey - 10:47 pm local time
Experience: 2+ years in AI/ML development with a Master's in Computer Engineering and Bachelor's in Economics - giving me the unique ability to bridge technical complexity with business value.
What I Build:
✓ Custom LLM Applications - Chatbots, assistants, and analyzers that understand your business context
✓ RAG Systems - Turn your documents into conversational knowledge bases that answer questions accurately
✓ Agentic AI - Autonomous agents that handle complex workflows and make decisions without human intervention
✓ End-to-End ML Pipelines - From data cleaning to model deployment with MLOps best practices
Tech Stack:
Languages: Python (Advanced)
AI/ML: LangChain, LangGraph, CrewAI, Transformers, Scikit-learn
Deployment: FastAPI, Streamlit, Docker, AWS (SageMaker, Lambda, EC2)
Data: Pandas, NumPy, SQL, Power BI
What Makes Me Different:
I don't build "cool tech" - I build systems that generate ROI. My economics background means I think in terms of business impact, not just technical specs.
Ready to Work:
I'm available 30+ hours/week and respond within hours. Click the "Send Message" button in the top right to discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Safi can start the project.
Delivery time starts when Safi receives requirements from you.
Safi works on your project following the steps below.
Revisions may occur after the delivery date.
Prepare data and build the forecast
I will inspect the time period, clean the target series, build a baseline forecast, validate it, and deliver forecast outputs with notes.