Data Analyst / CRM & Growth
CRM * Churn/Retention * Customer Analytics
SQL (BigQuery/Impala) * Python * Experimentation * Reporting
Focus
- Customer segmentation / churn drivers / retention tactics
- Campaign measurement (uplift, cohort, A/B test) & KPI governance
- Reusable SQL/Python patterns for analytics & operations
Featured
-
analytics-code-archive
SQL & Python snippets for CRM analytics, churn, and measurement
- foldered by use-case (joins, ranges, sessionization, etc.) -
experiment-toolkit (planned)
A/B test & uplift templates (SQL + Python notebook) -
dashboard-notes (planned)
KPI frameworks & reporting patterns (Tableau-ready metrics)
What I keep in this GitHub
- SQL patterns (BigQuery/Impala): joins, window functions, sessionization, cohort, retention, KPI tables
- Python utilities: pandas EDA, metric validation, quick plots, experiment analysis helpers
- Documentation-first: README jungsimeuro "wae ireohge ceugjeonghaessneunji"ggaji
Quick Links
- Repository:
analytics-code-archive - Contact: dnalschl1989@gmail.com