Python Code Portfolio

“I have no special talent. I am only passionately curious.” — Albert Einstein

Every script here turns raw data into clear insights — featuring synthetic data, A/B testing, retention modeling, and automated KPI pipelines.

Cohort Retention & Lifetime Value Analysis

Use Case: Understand user retention behavior and estimate lifetime value by signup month.

Inside: Generates synthetic cohorts, retention matrices, and LTV projections using pandas & numpy.

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A/B Testing Framework

Use Case: Evaluate experiment results to measure conversion uplift with statistical confidence.

Inside: Implements z-tests, confidence intervals, p-values, and power analysis for data-driven decisions.

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KPI Automation & ETL Pipeline

Use Case: Automate recurring metric calculations for SaaS KPIs to streamline reporting.

Inside: Builds a simulated dataset, transforms data, and computes MRR, churn, CAC, and payback period.

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