Browse Skills

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 domain-oriented, decentralized data architectures using data mesh principles including data-as-a-product, self-serve infrastructure, and federated computational governance.

Create publication-quality static figures with Matplotlib and interactive web-ready visualizations with Plotly, guided by visual perception research and data storytelling principles.

Designs and implements enterprise skills taxonomies and competency frameworks that enable skills-based workforce planning, internal mobility, gap analysis, and learning path mapping using validated I/O psychology methodologies.

Expert guidance for building and optimizing Apache Spark data processing pipelines, from PySpark development to cluster tuning and lakehouse architecture.

Expert in MongoDB production systems — document modeling, aggregation pipelines, sharding, indexing strategy, Atlas operations, and migration from relational databases.

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

Expert in Google BigQuery — SQL analytics at scale, partitioning and clustering strategies, BigQuery ML, materialized views, Dataform pipelines, cost optimization, and data governance.

Guides teams through MongoDB Atlas production deployments — cluster architecture, performance optimization, Atlas Search, security hardening, backup strategies, and cost management for cloud-native document database workloads.

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

Designs and implements sophisticated Airtable automations, scripting extensions, and integration workflows that transform manual business processes into reliable, scalable automated systems.

Build, evaluate, and deploy machine learning models directly in Google BigQuery using SQL, from classification and regression to time-series forecasting and recommendations.

Optimize BigQuery deployments for maximum performance and minimum cost through partitioning, clustering, query tuning, and systematic cost control strategies.

Design and implement automated data quality validation pipelines using Great Expectations, with expectation suite design, threshold calibration, and integration into dbt, Airflow, and Spark workflows.

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

Conduct environmental lifecycle assessments (LCA) of products following ISO 14040/14044, covering goal definition, inventory analysis, impact assessment, and improvement recommendations for sustainable product design.

Design, implement, and operate real-time event streaming systems using Redis Streams. Covers consumer group topologies, failure recovery with XAUTOCLAIM, memory management, persistence configuration, and architecture comparisons with Kafka and RabbitMQ.

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.

Expert guidance for building high-performance analytical queries and data pipelines using DuckDB, the embedded OLAP database engine with columnar storage and vectorized execution.

Guides geospatial data analysis including GIS fundamentals, PostGIS spatial queries, coordinate systems, geocoding, spatial indexing, and map visualization. Helps design location intelligence solutions and spatial analytics workflows.

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.

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.

Designs and enforces formal data contracts between producer and consumer teams, implementing schema governance, automated quality testing, and graduated enforcement strategies to ensure upstream data discipline.