Start with research and define clear project objectives,
Understanding business challenges
Researching data and use cases
Planning the AI-driven solution
Design
Create structured models and prepare training data,
Building models and pipelines
Choosing tools and data formats,
Testing with sample datasets
Deploy
Launch, monitor, and improve the live solution,
Running final model validation
Deploying to server or cloud,
Monitoring and model tuning
I'm a Data Scientist and ML Engineer specializing in turning complex data into actionable insights. I help businesses build intelligent solutions using Python, machine learning, and cloud analytics.