Browse Skills

Design BI architectures with semantic layers, dimensional models, self-service analytics, KPI frameworks, and modern data stack patterns using dbt, Looker, Metabase, and Tableau.

Guides the creation of high-impact Tableau dashboards with advanced calculated fields, LOD expressions, performance optimization, and data storytelling best practices.

Guide systematic exploratory data analysis workflows — from initial profiling through distribution analysis, correlation discovery, and hypothesis generation — using statistical rigor and effective visualization.

Designs and implements time series forecasting solutions — from data preprocessing and stationarity testing through model selection (ARIMA, Prophet, LSTM, Transformer-based), evaluation with proper temporal cross-validation (MAPE, RMSE, MASE), to production deployment with ensemble approaches and drift monitoring.

Rigorous causal inference methods for isolating the true impact of price changes on demand, revenue, and customer behavior using econometric techniques, DAG-based reasoning, and experimentation design.

Design and adapt survey instruments for cross-cultural and multinational research. Covers translation-backtranslation protocols, measurement invariance testing, cultural response style mitigation, and construct equivalence validation following ITC guidelines and established psychometric standards.

Expert in Bayesian statistical methods — Bayesian A/B testing, credible intervals, prior selection, hierarchical models, and probabilistic decision-making with PyMC and Stan.

Isolate the true causal effect of price changes on demand, revenue, and profit using rigorous econometric methods including difference-in-differences, instrumental variables, and synthetic control.

Designs retention measurement systems, builds churn prediction models, and creates data-driven intervention strategies that measurably reduce customer churn across SaaS, e-commerce, and subscription businesses.

Design data activation pipelines that sync analytical data from cloud data warehouses back into operational SaaS tools like CRMs, marketing platforms, and support systems.

Design and deploy Statistical Process Control systems with proper control chart selection, rational subgrouping, process capability analysis, and automated monitoring to detect and reduce process variation in manufacturing and service operations.