I will build a demand prediction model using machine learning
About this Gig
Are you looking for a professional Machine Learning Engineer to turn raw data into accurate predictions and actionable insights?
Youre in the right place.
I specialize in end-to-end machine learning pipelines, focusing on data quality, feature engineering, model performance, and optimization.
What I can help you with:
- Data preprocessing & cleaning (missing values, outliers, scaling, encoding)
- Feature engineering to improve model performance
- Machine learning models:
- Regression
- Classification
- Custom predictive models
- Model training, testing & evaluation
- Performance optimization (hyperparameter tuning, cross-validation)
- Model monitoring & performance analysis
- Clean, well-documented, reusable source code
Programming language:
Python
•
R
•
Colab
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
APIs:
Other
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Colab
My Portfolio
FAQ
What is machine learning?
Machine learning (ML) is the study of computer algorithms that improve automatically through experience.It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions.
What data do you need?
Historical revenue or sales data in CSV or Excel format.
Can you work with small datasets?
Yes, I can build models even with limited data.
