Lead with impact, support with tools
Weak: Used SQL, Python, and Tableau to analyze data. Strong: Built a churn-prediction model in Python (XGBoost), surfacing 4 leading indicators that reduced 30-day churn by 18% — saving ~₹1.2 Cr/year.
The skills order that works
SQL · Python (pandas, scikit-learn) · BI (Tableau, Looker, Metabase)
Statistics · A/B Testing · Experimentation
Domain: SaaS metrics (MRR, churn, LTV)
Bullet patterns that get callbacks
- Built [dashboard/model] that [business outcome].
- Designed an A/B test on [feature], finding [insight] worth [revenue].
- Reduced [report run time] from [X] to [Y] by [optimization].
What to include below experience
- A link to a public dashboard or notebook.
- A short "Recent analyses" section with 2-3 one-liners (each linked to the writeup).