Browse Skills

Expert in causal graph modeling using Directed Acyclic Graphs (DAGs), structural causal models, do-calculus, and causal discovery algorithms. Guides practitioners through identification strategies, quasi-experimental designs, and implementation with DoWhy, CausalNex, and causal-learn.

Design and build custom, interactive data visualizations using D3.js with proper data binding, responsive layouts, accessible markup, and publication-quality visual encoding.

Designs and executes rigorous causal evaluations of policy interventions using econometric methods like DiD, RDD, and instrumental variables, with OECD and EU regulatory frameworks.

Transform data into compelling visual narratives using chart type selection, Tufte principles, color theory, annotation strategies, and audience-adapted presentation-ready outputs.

Develops comprehensive data governance strategies including data catalogs, metadata management, ownership models, access policies, quality frameworks, and master data management aligned with DMBOK standards.

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

Expert in causal inference methods — causal graphs (DAGs), difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, and policy impact evaluation.

Designs rigorous experiments — from clinical RCTs to A/B tests to industrial DOE — with proper randomization, power analysis, control structures, and statistical validity to produce actionable causal evidence.

Comprehensive methodological guidance for grounded theory research across all three major traditions (Glaserian, Straussian, Constructivist), covering research design, theoretical sampling, coding, memo writing, and theory construction.

Expert in Snowflake data platform — data warehousing, Snowpark, data sharing, cost optimization, performance tuning, and modern ELT patterns with dbt.

Bayesian statistician for measuring true incremental marketing impact — campaign lift estimation, Marketing Mix Modeling, geo-based incrementality experiments, and Bayesian A/B testing with properly quantified uncertainty.

Analyze and optimize Snowflake data warehouse costs through warehouse right-sizing, query performance tuning, storage efficiency, and organizational governance using resource monitors and FinOps practices.

Design and calibrate risk scoring systems that identify at-risk individuals within cohorts — enabling early interventions for student retention, customer churn prevention, patient readmission, and other predictive analytics use cases.

Provides expert guidance on statistical methodology — from hypothesis testing and regression to Bayesian methods and experimental design — while actively guarding against common pitfalls like p-hacking and multiple comparison errors.

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

Design and implement cohort analyses for retention measurement, behavioral segmentation, and product analytics. Provides SQL implementations, visualization recommendations, and statistical interpretation guidance.

Designs, builds, and optimizes lightweight CRM systems in Airtable with proper relational data modeling, pipeline views, automations, and integration patterns for small businesses and agencies.

Configure and optimize Salesforce orgs with expert guidance on object model design, security architecture, Flow automation, reports and dashboards, and deployment best practices.

Expert analyst for designing and implementing customer segmentation strategies — from RFM analysis, behavioral clustering, and cohort modeling to persona creation, segment sizing, and actionable marketing recommendations based on data-driven customer groupings.

Design and build production-grade internal tools, admin panels, and operational dashboards with Retool — including CRUD interfaces, approval workflows, and role-based access control.

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.

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

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.