Responsible for the data stack, ensuring excellent data quality, ops, governance and privacy, extracting insight and meaning from data. Impactful Data Products – Shipped 7 data products that opened new product lines – i.e. APIs to display players’ progress in-game – and 4x improved efficiency – i.e. automated client reporting on 40+ games.Knowledge Impact & ROI – published 1st paper that causally demonstrated that doctors improved diagnosis and treatment after playing our… Show more Responsible for the data stack, ensuring excellent data quality, ops, governance and privacy, extracting insight and meaning from data. Impactful Data Products – Shipped 7 data products that opened new product lines – i.e. APIs to display players’ progress in-game – and 4x improved efficiency – i.e. automated client reporting on 40+ games.Knowledge Impact & ROI – published 1st paper that causally demonstrated that doctors improved diagnosis and treatment after playing our Dermatology game, which unlocked $11+ million in revenue. Published 10+ learning impact and ROI data studies. Attribution for Sponsored Gameplays – built a product line responsible for $4 mil in annual revenue by building technical strategy to attribute and verify players using dynamic URL templates, without registration.Led Team of 6 Engineers, Analysts and Researchers who grew a data-driven culture across the company, increasing views of analytics, user research, and data products by 2.5x.LLM Data Slackbot – developed the prompt engineering framework for a slackbot that answered natural language data questions by querying the data warehouse directly, democratizing access to data.Operational Analytics – automated the month-end close for the accounting team, saving 20 hours of work per month, reducing errors to near-zero through data tests & improving the billable allocation rate by 50%.Secured Data Governance – deployed more secure, purposeful, role-based data governance policyStrategic Roadmap – shared quarterly roadmaps, increasing transparency & alignment with stakeholders.Modern Data Stack – AWS (S3, ECS, Lambda, API Gateway), Fivetran, Playfab, Docker, dbt, Prefect, Github (version control & CI/CD), Snowflake, Python, Tableau (migrating to Zenlytic), Google Sheets. Show less

Drove improvement in KPIs through focused and impactful analysis of product and marketing. Built a collaborative analytics feedback loop with internal stakeholders, improving KPIS like retention by 2x.Built an Internally Managed, Automated Player Verification Service using AWS Lambda functions and API gateway to physician registry datasets, in collaboration with the UX team. Wrote Data Collection and Privacy Practices, which ensured that the company protected player data.

Responsible for building a team that updated a cloud data stack, automated end-to-end reporting on apps, provided advanced analysis and trained & deployed ML models. Data Warehouse Migration – managed team that migrated the data pipeline to ELT framework using dbt for data modeling, and Prefect for orchestration. Built automated testing and governance. Player Verification Model Pipeline – managed the design and implementation of a healthcare provider record linkage model… Show more Responsible for building a team that updated a cloud data stack, automated end-to-end reporting on apps, provided advanced analysis and trained & deployed ML models. Data Warehouse Migration – managed team that migrated the data pipeline to ELT framework using dbt for data modeling, and Prefect for orchestration. Built automated testing and governance. Player Verification Model Pipeline – managed the design and implementation of a healthcare provider record linkage model, identified HCPs through fuzzy matching and ML.Web streaming Platform – defined an analytics strategy and implemented an end to end analytics pipeline, data warehouse, and reporting stack for an entirely new product - a streaming platform for games. Show less

I manage a data science team, develop ML data applications at scale, build internal partnerships, execute an analytics roadmap, and deliver high impact analyses.Designed, built and maintained offer recommendation engine that ranks relevant promotional offers for all customers. Has driven ~$100 million incremental sales lift over 2 years, and activated in many channels. Designed ETL, ML and production scoring process. Built 4 improved models that drove additional 50% in incremental lift.… Show more I manage a data science team, develop ML data applications at scale, build internal partnerships, execute an analytics roadmap, and deliver high impact analyses.Designed, built and maintained offer recommendation engine that ranks relevant promotional offers for all customers. Has driven ~$100 million incremental sales lift over 2 years, and activated in many channels. Designed ETL, ML and production scoring process. Built 4 improved models that drove additional 50% in incremental lift. Developed hundreds of scalable predictive models for targeted marketing. Cultivated rapport with business partners via impactful deep-dive analyses and actionable business recommendations. Drove $65M in sales lift in 1st year; $80 million in year 2. Built segments for 100 million customers, used across the entire enterprise. Collaborated cross-functionally with senior leaders, IT, and business teams.Developed data pipeline to power personalized messages at checkout across the entire chain of 10000 stores, the first project of its kind at WBA. Data Science Lead in mission critical, CEO-level project with Google-Verily to build predictive data products to improve patients’ drug adherence. Customer Contact Strategy & Lifetime Value – Collaborated with business partners and formulated a customer contact strategy, based on lifetime value and expected future value, that has driven 30% increase in monthly incremental sales since implementation in April 2018.Built predictive models that identify patients’ disease states to improve understanding of how different patients use Walgreens. Show less

Responsible for designing and productionalizing predictive models; leading analyses projects..Researched, developed and productionalized affinity models for predicting customer responses in marketing campaigns. 8 use cases have driven $30M in sales lift. Architected data aggregates for easy, efficient consumption by 50+ analysts.Developed propensity score methodology to measure the value of the loyalty program, presented findings to senior leadership, and offered… Show more Responsible for designing and productionalizing predictive models; leading analyses projects..Researched, developed and productionalized affinity models for predicting customer responses in marketing campaigns. 8 use cases have driven $30M in sales lift. Architected data aggregates for easy, efficient consumption by 50+ analysts.Developed propensity score methodology to measure the value of the loyalty program, presented findings to senior leadership, and offered strategic recommendations. Show less

Responsible for researching and delivering reports to clients, designing predictive analytic models, authoring best practices, cleaning and analyzing social data, and automating processes. • Conde Nast: Team Leader for Golf Digest, designed and executed experiments using social data that identified where and how to target Millennial Golfers in order to expand readership, presented findings. • Crest (P&G): Discovered purchase-drivers for oral-health conscious Americans; informed… Show more Responsible for researching and delivering reports to clients, designing predictive analytic models, authoring best practices, cleaning and analyzing social data, and automating processes. • Conde Nast: Team Leader for Golf Digest, designed and executed experiments using social data that identified where and how to target Millennial Golfers in order to expand readership, presented findings. • Crest (P&G): Discovered purchase-drivers for oral-health conscious Americans; informed messaging. • Pioneered initiative to build analytical products for geographic segmentation and localized targeting. Show less

Responsible for leading project-teams in quantitative work, including data-cleaning, econometrics, and impactful presentation of data.• Led research project to design the first quantitative measurement of the Quality of Official Development Assistance in the Agricultural Sector. Lead author on a follow-up report that widened scope of the work.• Wrote the bi-monthly Evaluation Gap Newsletter, regarded as a premier resource for trends in impact evaluation for international… Show more Responsible for leading project-teams in quantitative work, including data-cleaning, econometrics, and impactful presentation of data.• Led research project to design the first quantitative measurement of the Quality of Official Development Assistance in the Agricultural Sector. Lead author on a follow-up report that widened scope of the work.• Wrote the bi-monthly Evaluation Gap Newsletter, regarded as a premier resource for trends in impact evaluation for international development. Pioneered A/B testing to further engage with readers.• Co-author of an Op Ed published in financial times on a new sanctioning tool to thwart illicit financial flows. Show less

Responsible for streamlining data collection methods, improving both quality and precision of firm-level employment data, and tracking national employment trends.

Responsible for brand development, redesigning the company website, and identifying new sources for revenue. Worked while still attending courses at Marquette University.