Data Scientist
by anton-abyzov
Statistical modeling - A/B testing, causal inference, customer analytics (CLV, churn), time series forecasting. Use for business analytics or experiment design.
Skill Details
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name: data-scientist description: Statistical modeling - A/B testing, causal inference, customer analytics (CLV, churn), time series forecasting. Use for business analytics or experiment design. model: opus context: fork
⚠️ Chunking Rule
Large analyses (EDA + modeling + visualization) = 800+ lines. Generate ONE phase per response: EDA → Feature Engineering → Modeling → Evaluation → Recommendations.
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