Peter Matson Email & Phone Number

California, United States

United States

Promoted from Data Science Practice LeadCore Responsibilities:- Manage internal reporting for practice profitability, resource allocation, and project health.- Manage strategic marketing and sales initiatives.- Work with prospective clients to understand their needs, design solutions, and guide the delivery team through the implementation.- Mentor data analysts and data scientists- Manage key accounts and projects to ensure project success.- Train sales, marketing, and delivery teams.

Promoted from Data ScientistCore Responsibilities- Led team of five data scientists- Led technical implementation of ML models for various clients including Experian and Microsoft. - Led technical pre-sales calls with prospective clients.- Created sales & marketing collateral with VP of Sales and Chief Marketing Officer.- Interviewed, hired, and on-boarded new data scientists to the team.- Mentored Junior Data Scientists and trained Engagement Leads on consulting best practices.ProjectsInternal Projects- Built internal reporting and machine learning infrastructure in R Shiny and Snowflake.- Built ETL pipeline for managing client data and ML orchestration tool to automate model training, testing, and predictions.- Developed ML model monitoring tool to check model performance and data drift.- Built internal reports in Power BI from Dynamics 365 data to provide insights to leadership track KPIs.- Created internal dashboard review process to ensure consistent high-quality designs and train new employees.Experian – Product Link Scoring- Gathered requirements from SMEs at Experian and developed a roadmap for improving the current model. - Built a ML model to identify cases where fraud was likely resulting in a reduction of fraud and chargebacks by up to 50%.Microsoft – Cloud Marketing Insights- Improved growth model targeting resulting in targeted account growth increasing from 11% YoY to 17% YoY.- Improved adoption model targeting resulting in targeted accounts adopting new products 30+% of the time up from <10%.- Built dynamic ML framework in R Shiny to partially automate model building and reduce time to deliver new models for each fiscal year.- Provided sales team with insight into customer segments and which attributes were key drivers of growth and adoption.Transforming Age- Migrated existing FiveTran ELT into Matillion and migrated workflows to new CRM.- Improved existing reporting layer in Snowflake and reduced Snowflake costs by 90%.

Ethical Compliance Model- Built secure data pipeline using Alteryx and REST APIs to combine sensitive data.- Built tabular model to identify hot spots of misconduct and flag employees for intervention and/or training.- Created interactive misconduct dashboard in Power BI to highlight insights from upper management down to individual contributors.- Updated existing DAX metrics reducing page load time from 20+ seconds to under 3 seconds.

Redmond, Washington

Internal Projects- Used RPA, Azure Data Factory, and Snowpipe to build an automated data pipeline.- Built robust dashboard usage report in Power BI for monitoring internal report usage and adoption. Microsoft – Modern Workplace, Surface, and Security- Built back-end data model to connect data from across Modern Workplace, Surface, and Security.o Created pipelines to pull data from SharePoint, SSAS, Azure Data Explorer (Kusto), and Azure SQL Server in SSIS.o Collaborated with international data teams to build unified security reporting database.- Integrated Row-Level Security (RLS) in SSAS tabular model.- Reduced data refresh time from 8 hours to one hour and increased refresh frequency from weekly to daily.- Used Azure Dev Ops (ADO) for source control, documentation, and document storage.- Built PBI reports to support high-level initiatives including Azure Security Go Big, Azure Defender for IoT, and Accelerated Deployment Credit Offer for Sentinel.o Managed metric definitions and reporting for Azure Defender for IoT following the acquisition of CyberX.- Gathered key stakeholder requirements, defined KPIs, and presented results to upper management.- Built security seller dashboard to unify all key seller data into a single source of truth.- Worked with time zone leads to define growth targets and track progress.- Managed overseas development team building Power BI reports.- Performed A/B testing and statistical analysis that measured program effectiveness and presented findings to upper management. Other Projects:Microsoft – Consumer Software EngineeringMicrosoft – Cloud Marketing InsightsPrevedere

Spokane, Washington Area

- Built new product shipping estimation tool that improved initial shipping estimates by 35% with an average effect of $60 per order and enabled Product Expansion to add over 2000 new products.- Collaborated with Data Scientists to build advanced statistical models to gain insight into and drive decision making around new products and products without sales in the last 30 days.o Developed ETL process using SQL and R to create the train-test database.o Assisted in feature engineer, testing, and deploying the model using R and Azure ML Studio.- Built automated reporting solution in Power BI that reduced weekly reporting time from 4 hours to 10 minutes.- Built new vendor and product profiling model that decreased time to identify large opportunity products, increasing active SKU count by 25% while reducing buyer overhead.- Performed extract, transform, and load (ETL) activities in R using data.table and tidyverse.- Trained finance, operations, and business analysts on best practices for R and SQL.- Built automated dashboard in Power BI that displayed KPIs to track overall business health and became the basis for the CEO Dashboard.o The CEO Dashboard was used to drive cross-company action and track progress towards quarterly and annual goals reported in monthly all company meetings.- Assisted in database management through the building of and validation of data warehouse tables.

- Taught Geometry and Algebra II with a focus on mathematical reasoning, logic, and real-world connections.- Planned lessons including learning interventions, scaffolding, and individual feedback for 150+ students.- Used statistical analysis to inform data-driven decisions and adjust curriculum to meet individual student needs.- Built and maintained databases in excel to provide insights on individual student and group progress.- Collaborated with cross-district teachers to ensure consistent, top-quality instruction and access curriculum.- Led technology team in implementing new technologies into the classroom and trained fellow teachers.- Regularly engaged in professional development to add to my repertoire of skills.

Taught A.P. Statistics and Pre-Calculus

Bachelor'S Degree, Data Analytics

Bachelor Of Science (B.S.), Mathematics

Master In Teaching, Secondary Education