I will build a machine learning model for classification, regression or clustering
About this Gig
I build practical, well-evaluated machine learning
models in Python specializing in structured/tabular
data: classification, regression, and clustering.
Background: MS Data Science (FAST-NUCES), Math
foundation. I designed a custom deep learning model
(Residual Gated Attention Transformer) for electricity
load forecasting R²=0.9828, a 33.7% improvement over
baseline, trained on 48,000+ real-world samples.
WHAT YOU GET:
Trained model with clear performance metrics
Explanation of which algorithm was used and why
Clean, documented Python code
Result visualizations (confusion matrix, prediction plots)
CURRENT SCOPE: Structured/tabular data (CSV, Excel).
For image, audio, or advanced NLP/deep learning
projects, message me first to confirm fit before
ordering.
I'd rather scope honestly than overpromise. If your
project fits above, you'll get a tested model with a
clear explanation not a black box.
Send your dataset + target variable to get started.
Programming language:
Python
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
•
Colab
My Portfolio
FAQ
What information do you need to start the project?
Please share your dataset and describe what prediction or analysis you need. I will review it and suggest the best approach.
What format should my data be in?
I work with CSV, Excel, or any common format. Raw or messy data is fine — I handle preprocessing as part of the service.
Can you deploy the model to production?
This gig covers model building and evaluation. For deployment/API integration, message me to discuss as a custom project.

