My process is structured yet adaptable, and typically includes; 1) Discovery, Understanding business goals and data context. 2) Exploration, Analyzing data and selecting suitable ML techniques. 3) Design, Defining model approach and evaluation metrics. 4) Development, Building and validating machine learning models. 5) Testing, Optimizing through tuning and edge-case analysis. 6) Deployment, Integrating models into production workflows. 7) Monitoring, Tracking performance and refining as needed.

I offer both fixed-price quotes for well-defined projects and hourly rates for ongoing work or projects with evolving requirements. Every project is unique, so I provide custom quotes based on the scope, complexity, and timeline. I'm transparent about costs and provide detailed proposals before starting any work.

Timelines vary based on project complexity, but typically; Data audits or dashboards (1-2 weeks), Standard ML models or NLP pipelines (1-2 months), and larger, more complex projects (3+ months). I pride myself on delivering on time and provide regular updates throughout the development process.