World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.
Quick integration into your workflow with minimal setup
Active open-source community with continuous updates
MIT/Apache licensed for commercial and personal use
Customizable and extendable based on your needs
Download or copy the skill file from the source repository
Place the skill file in Claude's skills directory (usually ~/.claude/skills/）。
Restart Claude or run the reload command to load the skill
Tip: Read the documentation and code carefully before first use to understand functionality and permission requirements
All Skills from open-source community, preserving original authors' copyrights
alirezarezvani__claude-skills/engineering-team/senior-data-scientist/skill.mdProven benefits and measurable impact
Reduce CAPA investigation and resolution time by nearly a third.
Cut recurrence of non-conformities by half with better root cause analysis.
Double audit preparation efficiency with organized CAPA documentation.
Perfect for these scenarios
Identify and document root causes using 5 Whys, Fishbone, and other structured methodologies.
Develop detailed corrective and preventive action plans with timelines and responsible parties.
Verify CAPA effectiveness through data analysis and post-implementation audits.
Streamline CAPA workflows to reduce cycle times and improve compliance tracking.