I will build a custom machine learning model and deploy it with fastapi


About this gig
I will build a custom Machine Learning / Deep Learning solution for your projectfrom data preprocessing to a trained model with proper evaluation and production-ready code.
What I can deliver: Classification or regression models (tabular data) Deep Learning models (PyTorch / TensorFlow) when needed
Data cleaning, feature engineering, and reproducible training pipeline
Model evaluation: accuracy, F1, ROC-AUC / PR-AUC, MAE/RMSE + error analysis
Deployment-ready deliverables (FastAPI-ready structure) + clear setup instructions
Use cases: Churn prediction, fraud/anomaly detection, forecasting, scoring systems Any custom prediction task based on your dataset
What you will receive: Clean Python code (notebook/script) Trained model + preprocessing pipeline Metrics report + recommendations for improvement Documentation for running and testing
Before ordering, please message me with your dataset type, target column, and goalI'll recommend the best package.
Tech stack keywords: Python, scikit-learn, PyTorch, TensorFlow, FastAPI, Docker.
Get to know Tashfeen R
AI and ML Engineer, LLM Agents and Automation
- FromPakistan
- Member sinceJan 2025
Languages
Urdu, English, German
My Portfolio
FAQ
What do you need from me to start?
Dataset (CSV/Excel/JSON), target column, problem goal, and any constraints/deadline.
Do you work on classification and regression?
Yes both. I will recommend the right approach based on your data and objective.
Will you provide evaluation and a report?
Yes. I include metrics and error analysis to ensure the model is reliable.
Can you handle imbalanced datasets?
Yes class weights, sampling strategies, threshold tuning, and proper PR/ROC evaluation.
Do you provide source code?
Yes, clean and documented source code is included.
Can you deploy on cloud (AWS/GCP/Azure)?
Currently I provide local/Docker-ready deliverables. Cloud deployment can be added later.

