Aaron is a Master Data Producer, an Artisanal Data Craftsman, and an All-Source Data Analyst, who specializes in the efficient and reproducible production of creative analytical products, to help clients discover insights and capture value from data.
Aaron is an Functional System Integrator, an Analytical Tool Builder and an Agile Swift Developer who specializes in desiging, integrating and employing customized tool ecosystems to produce invaluable business insights from multi-scale data streams, ranging from global operations data to personal usage data.
Aaron is an Applied Cognitive Scientist and a Language Comprehension Technologist who specializes in building systems to automate the excavation and discovery of hidden conceptual and semantic structure in computationally unstructured data, to build AI that reads analytically and creatively, just like humans do.
As the Founder and Lead Analyst of em-cubed, a Vancouver-based data science consultancy offering a select range of specialized analytic services, Aaron enjoys the challenge of exercizing the unique combination of skills required to produce creative and insightful analytical products in each key role.
I observe, measure, and capture real time machine and sensor data. For example, I capture user interface activity and procedural workflows at application and task levels. I also design and validate key performance indicators and business process metrics.
I normalize, structure, sanitize and integrate raw, unstructured, dirty and disparate data sources. This means that I map reduce big data and splunk> real time streaming data. I reverse engineer SQL queries, joins, and database procedures from final data analyses.
I efficently engage in integrative, structural, analytical reasoning using visual interactive interfaces. This means that I tailor, build, and deploy interactive analytical narratives, reports, and dashboards for targeted audiences. I always maintain and present analytical provenance.
Design and produce experimental data gardens.
Prototype iOs and android apps.
Analyze and model human language comprehension.
Aaron has practiced the craft of all-source data analysis for over ten years, developing core R&D skills in the advanced technology labs at SFU SIAT and further refining project management skills in applied business analytics context at MITACS.
As an operations, policy, and business intelligence analyst, each new project demands a unique combination of essential core skills.
Aaron combines human and computational intelligence in predictive analytics for targeting untapped areas with high potential value.
He is known for his creation of organic, observational datasets through the design, maintainance, and harvesting of experimental data gardens.
Contact Aaron to discuss how to put these skills to work for your company today.
Aaron has 8 years of experience in the primary production of raw large-scale data by sensors and logs.
18 years experience in the primary production of raw human-scale user data by hand-harvesting, using the traditonal observational methods of survey and experimental design, and developing novel computational methods of personalized user data collection and curation.
12 years of experience understanding the malformed nature of the outlying beast, taming unruly data and rehabilitating bad data sources to feed foward into analytic and visualization workflows.
8 years of experience combining data pools for deeper analysis, practicing secondary production of big data through hand-tailored computational integration of raw operations, sensor, and system log data.
16 years of experience in the secondary production of traditional human-scale knowledge by transdisciplinary collection, management, refinement and processing of published research articles and data.
Analytical Data Enrichment
12 years of experience in the secondary production of multi-scale data, creating smart, calculated datasets, through targeted data enrichment to filter, refine, and extend the available range of derived data points.
10 years experience in the secondary production of human-scale data by discipline-specific statistical analysis.
Visual Data Exploration
10 years experience in the visual exploration of multi-scale data, to chart a course through vast untouched data landscapes, data prospecting to identify rich untapped data resourses, and establishing data mining operations for the systematic extraction of high-value deposits of high-yield insights.
Unstructured Textual Analysis
Below you will find a selection and brief description of some of my recent projects. Some projects have been undertaken as an individual researcher, and others were commisisoned as a consultancy.
Usage Patterns Identified