Building at the intersection of data, markets, and machine learning.
π Nairobi, Kenya Β |Β π WorldQuant University Β |Β π Open to Remote
| Domain | Focus |
|---|---|
| π Churn Analytics | Retention, survival analysis, LTV modelling |
| π§ͺ A/B Testing | End-to-end experimentation frameworks |
| π Bayesian Methods | Causal inference for marketing incrementality |
| π¦ Quantitative Finance | CLV platforms, funnel & growth analytics |
| π Observability | RCA, multi-vendor telemetry, OpenTelemetry |
- churn-analytics-saas β PostgreSQL-backed SaaS with retention, survival analysis & LTV
- ab-testing-senior-experimentation β End-to-end A/B testing framework
- bayesian-incrementality-geo-lift β Bayesian causal inference for marketing
- customer-lifetime-value-platform β Production-grade CLV analytics (SQL, Python, R, Docker, K8s)
- funnel-growth-analytics-platform β FAANG-style growth analytics with PostgreSQL & Kubernetes
- observability-one β Enterprise observability platform with RCA & multi-vendor integrations
"Frontier markets. Frontier models. Frontier curiosity."