Austin Wallace Email & Phone Number

Victoria, Bc, Ca

Victoria, Bc, Ca

Remote

Architected, owned, and implemented from scratch a end-to-end data NHL tracking data pipeline in DBT and Snowflake. This includes:- Building 20+ models to transform the data from raw into various formats suitable for visualization or further analysis. This includes complex models to deal with matching tracking data on closest utc timestamp, and interpolating data onto a defined regularly spaced time grid.- Building efficient incremental models and automating the ingestion and processing of new data- Productionizing and parallelizing data scientist's python models using vectorized user defined table functions in Snowflake- Implementing custom dbt generic tests to ensure data quality throughout the pipelineAdditionally, I created pipelines for the NHL's regular play-by-play data and prospect data from a third party, using Dagster to orchestrate our pipeline.

Vancouver, British Columbia, Canada

Part of RACE21, an internal tech startup within Teck Resources.Responsibilities include:- Taking a leadership role in setting the technical direction within my domain and founding a new squad and onboarding and mentoring my colleagues hired to build it. - Built a service with Terraform, Azure Eventhub, Azure Functions, and Airflow, to enable easy use of the Sendgrid notification service in any project accross RACE21. - Evaluated, designed, and migrated a new alerting service, away from an inflexible alerting system based in PostgreSQL. This allowed the service to be much more easily extended, tested, observed, and maintained.

Elected to provide high level governance for a sport played in 40+ countries worldwide. Elected as Chair of the board.

Vancouver, Canada Area

Brought on to help build out the backend for a small team from the ground up. In less than a year, our team was successful in disrupting the e-commerce personalization market via our competitive advantages in response time and event-based machine learning, which were enabled by completely rebuilt backend infrastructure.• Owned our entire 40+ endpoint API which enabled our development team to build the platforms that were our competitive advantage as we signed top brands away from our competitors in the personalization space. • Lead a small team to build a flexible integration testing platform from scratch which enabled our non-technical quality assurance lead to easily write test cases which covered our full API, which was key to keeping our uptime at 99.9% or better. • Built out a flexible analytics platform to provide daily analytics which integrated data from multiple sources, while prioritizing the user experience of selecting and modifying the queries being run. The insights from this platform led directly to some of the company’s largest contracts.

Vancouver, Canada Area

- Developed, and deployed a distributed ETL system composed by 8+ Golang microservices deployed as 200+ pods on Kubernetes clusters ingesting and processing multiple petabytes of data. This system processed, stored, and exposed real estate data across US and Canada.- Part of a three person data team responsible for the data and machine learning needs of the company.- Built the back-end and machine learning architecture of a full-stack application to assist in manually categorizing data. Trained a model to offer predictions on how the data should be categorized, and integrated it into our application.

Vancouver, Canada Area

Initially securing an Applied Research - Machine Learning Internship role, the Machine Learning Lead asked me to stay on as a full Machine Learning Researcher in 2017 to complete and launch a visualization system for point cloud data sets containing tens of millions of data points. Key Contributions:- Teamed up with my immediate supervisor to jointly create, roll out, and patent an information visualization algorithm - a massively-parallel and potentially ground-breaking action that can be run on a quantum annealer. This project is slated to be delivered at the NASA-sponsored Adiabatic Quantum Computing Conference in the early Summer of 2018.- Was the catalyst for securing millions of dollars in additional revenues based on my extensive pilot project involvement. I effectively navigated messy disparate data, changing client needs, and poorly-defined delivery requirements to help secure a major investment and strategic partnership.- Was hand-picked by 1QBit's CEO to jointly lead a workshop at a major potential customer's headquarters, thereby strengthening 1QBit's reputation as a leader in the Vancouver machine learning community.

Www.Quidditchpost.Com

Originally beating out numerous candidates for the role of Chief Operating Officer (COO), I was promoted to restore volunteer engagement, enhance productivity levels, and instill a culture of unified excellence impacting 75 sports ambassadors across North America, South America, Asia, the EU, and Australia. Key contributions: • Propelled quality media coverage from 10 to 35+ countries and staffing from 10 to 75 volunteer• Established 5 new partnerships with both national and international governing bodies, having breathed life into The Quidditch Post's new website which now articulates fresh and current branding.• Co-authored The Quidditch Post's social media guide, code of conduct manual, and strategic planning / visioning documentation to instill across-the-board operational congruency with regard to smooth workflows and favourable reputation practices.

• Find and evaluate prospective scouts/writers and hire them if they have the potential to improve on the standard of excellence found throughout the Dobber Sports Network. • Develop, find, and evaluate prospective features/ideas and implement them if they have the potential to improve on the standard of excellence found throughout the Dobber Sports Network. • Write the featured column, the ramblings, weekly. The ramblings bring together relevant content from the world of prospects as well as what current events mean for the value of the prospects they effect.

Palo Alto

• Secured a coveted 4-month Data Science Internship role at Pebble, one of the first commercial smartwatch manufacturers based in California's Silicon Valley.• Created and monitored an in-house conversion funnel, a series of metric that allowed key decision-makers to identify client disengagement rates and make recommendations to plug up activity gaps. • In conjunction with an engineer, I took on independent project to build company’s first app recommendation engine.

Feathers Lab At Caris

• Adapted video game controllers for therapy for people with cerebral palsy or strokes.• Collected and analyzed data from camera to analyze and correct for perspective distortions.• Worked with volunteers who had cerebral palsy or a stroke to test the system and improve the user experience.

Bachelor Of Integrated Science, Machine Learning (Major) / Commerce (Minor), Machine Learning And Data Science, First Year: C Average, Final Year: A Average

Activities and Societies: Club Lead - UBC Thunderbirds Quidditch Sport Club Video Coach - UBC Thunderbirds Varsity Men's Hockey Team•.

Education record