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I will create a machine learning predictive model using python
Data Analytics Specialist, Power BI, SQL, Python, ML and AI
Hi, I am Abdulkadar Kapasi, a Data Analytics Specialist skilled in Power BI, SQL, Python, DAX, dashboard development, predictive analytics, and automation. I help businesses turn raw data into dashboa...
About this Gig
Turn Your Data Into Accurate Predictions
Need to forecast sales, customer behavior, demand, or business trends? I build custom Python machine learning models that turn your historical data into actionable insights and reliable predictions.
What You'll Get
- Custom predictive model in Python
- Clean source code (Python/Jupyter Notebook)
- Prediction results (CSV file)
- Model performance summary
- Easy-to-understand insights report
Use Cases
- Sales & Revenue Forecasting
- Customer Churn Prediction
- Demand Forecasting
- Lead Conversion Prediction
- Customer Lifetime Value Analysis
- Marketing Performance Prediction
- Inventory Planning
- Custom Prediction Projects
Why Choose Me?
- Business-focused solutions
- Clear communication
- Affordable analytics support
- Beginner-friendly explanations
- Reliable Python & ML expertise
How It Works?
- Share your dataset and objective.
- I review the data and recommend an approach.
- I build, evaluate, and deliver the model with insights.
- Let me know if you need instructions on how to run the code I'm happy to provide a brief 'How-To' guide.
Message me before ordering to discuss your project and data requirements.
Programming language:
Python
Frameworks:
Scikit-learn
•
Other
Tools:
Jupyter Notebook
•
OpenCV
•
Excel
FAQ
1. What type of data do I need to provide?
Any structured historical data can work, including sales records, customer information, website metrics, inventory data, marketing results, or operational data. CSV and Excel files are preferred.
2. Do I need any coding or machine learning knowledge?
No. I explain the results in simple business terms so you can understand the predictions and use them confidently.
3. How much historical data is required?
Generally, more data produces better predictions. However, I can review your dataset before purchase and advise whether it is suitable for modeling.
4. Is my business data kept confidential?
Yes. Your data is used only for project completion and is treated as strictly confidential.
5. How accurate will the predictions be?
Accuracy depends on data quality, quantity, and the specific business problem. I provide evaluation metrics and explain model performance transparently.
6. Can you predict future sales or customer churn?
Yes. Sales forecasting, customer churn prediction, demand forecasting, and lead conversion prediction are among the most common use cases.
7. What will I receive after delivery?
You'll receive the Python code, trained model workflow, prediction output file, and a report explaining results, accuracy, and recommendations.
