Matt Collins Email & Phone Number

Seattle, Wa, Us

• Principal consulting lead for 20+ person analytics and engineering project delivering solutions in the areas of data analytics, data engineering, business intelligence, and cloud application development• Acted as machine learning architect of forecasting project; designed experiment and validation structure leveraging scikit-learn, which allowed the team to successfully implement and prototype three candidate models; created shadow deployment approach for evaluating models alongside existing business processes for monitoring and go/no-go decision making• Leveraged Python to develop an anomaly detection system for determining if telemetry measurements were within desired specifications; evaluated candidate unsupervised machine learning models before ultimately deploying a deterministic application to productionTechnologies: AWS, Athena, S3, SageMaker, Python, scikit-learn, SQL• Developed a production-deployed data pipeline in Airflow and SQL, along with a Tableau dashboard, to monitor the impact of product upgrades on the customer experienceTechnologies: AWS, Athena, S3, SQL, Airflow, Python, Tableau• Identified and deployed bug fixes to resolve failures in an existing production PySpark data pipeline; developed optimizations to decrease the runtime by almost 40% and reduced the pipeline failure rate to under 1%Technologies: AWS, S3, EMR, PySpark, Serverless, Jenkins, BitBucket• Manager for three direct reports

Seattle, Wa, Us

• Developed multiple data processing and analytics applications and use cases, leveraging multi-TB data to understand and improve customer experience measurementsTechnologies: AWS, SageMaker, EMR, S3, Athena, Lambda, Step Functions, Python, PySpark, SQL, Tableau, Jenkins, Bitbucket• Led Slalom's Global Databricks User Community, increasing participation by 150% in one year, receiving the highest individual partner recognition, the Partner Champion Awards, and helping Slalom become recognized as a Databricks Partner of the Year• Managed four direct reports

Seattle, Wa, Us

• Acted as machine learning architect for a forecasting project to predict order volume; the project achieved a 2x improvement in prediction accuracy over company benchmarks using a blended linear regression and random forest model• Developed an enterprise-grade data pipeline and Tableau dashboard to standardize multiple reports containing dozens of business-critical key performance indicators (KPIs); the report reached 3,000+ average monthly views across the first quarter of release and eliminated man-hours required product these metricsTechnologies: Google Cloud Platform (GCP), BigQuery, Tableau, SQL• Managed two direct reports

Emeryville, Ca, Us

• Created ETL pipelines using SQL Server to perform data engineering and build business intelligence reports in Tableau; primarily worked on reports related to supply chain and optimization• Developed supply chain pricing benchmark tool leveraging NLP techniques, improving item match rate from 20% to over 50%

Tuscaloosa, Al, Us

• Designed a website and newsletter to promote and inform businesses about the HR Institute program• Administered and evaluated tests and assisted instructor in test preparation

Mason, Oh, Us

• Identified yearly cost savings of $232,000 by isolating causes of inventory waste• Discovered $38,000 of additional yearly revenue by analyzing pricing data using R to discover a pricing inconsistency

Master Of Science - Ms, Computer Science

Master Of Business Administration - Mba, Business Analytics

Bachelor Of Science - Bs