I will build an end to end machine learning pipeline from data to deployment

Do you have raw data but no idea how to turn 

it into a working AI system?

I build complete end-to-end machine learning 

pipelines from raw data to deployed model 

so your business can start using AI today.

What I deliver:

Data collection and preprocessing

Exploratory data analysis (EDA)

Feature engineering and selection

Model training and hyperparameter tuning

Model evaluation and performance report

REST API with FastAPI or Flask

Streamlit dashboard for predictions

Cloud deployment (AWS/Heroku/Railway)

Full documentation + source code

Real Results:

Healthcare Stroke Prediction XGBoost model,

89% accuracy, 5000+ records, Streamlit web app

delivered to client successfully.

Fruit & Vegetable Quality Inspection YOLOv8,

94% accuracy, live HuggingFace demo.

AI-Powered Insider Threat Detection System

delivered for real client, $400-$600 project.

Who this is for:

Startups needing their first AI model

Businesses with data but no ML expertise

Researchers needing production deployment

Companies replacing manual decisions with AI

Anyone needing data to deployed model fast

Tech Stack:

Python Scikit-learn XGBoost LightGBM

PyTorch TensorFlow Pandas NumPy

FastAPI Streamlit Docker AWS