Projects

This section contains selected work and experiments across machine learning and data science.

Machine Learning Systems

Design and development of predictive models with focus on:

• Feature engineering
• Model optimization
• Deployment considerations

Data Analysis & Experimentation

• Exploratory data analysis
• Statistical modeling
• A/B testing frameworks

Ongoing Work

More detailed write-ups are published in the blog section.