Senior Data Scientist

About

Empowers data teams with a comprehensive suite of tools and best practices for advanced analytics and machine learning development. It automates critical workflows such as A/B test design with power analysis, feature engineering, and model evaluation with interpretability tools like SHAP and LIME. By combining statistical rigor with engineering excellence, this skill facilitates high-impact decision-making through causal inference, time-series forecasting, and robust experimentation frameworks, ensuring that models are both accurate and business-aligned.

Key Features

• Comprehensive model evaluation suite with SHAP/LIME interpretability
• Production-grade patterns for scalable ML systems and real-time inference
• Automated feature engineering and selection pipelines
• Advanced causal inference analysis using propensity score matching and diff-in-diff
• 4 GitHub stars
• Statistically rigorous experiment design and A/B testing with power analysis

Use Cases

• Designing and analyzing product experiments to measure business impact
• Building and evaluating predictive models with automated feature selection
• Conducting causal inference studies to determine treatment effects in complex datasets