diff --git a/content/about/_index.md b/content/about/_index.md index 321c9cb..ba32289 100644 --- a/content/about/_index.md +++ b/content/about/_index.md @@ -1,6 +1,6 @@ --- title: About Me -date: 2023-11-08T10:22:23-08:00 +date: 2026-03-24T22:22:23-08:00 draft: false --- diff --git a/content/about/resume.html b/content/about/resume.html new file mode 100644 index 0000000..c218cf4 --- /dev/null +++ b/content/about/resume.html @@ -0,0 +1,799 @@ +--- +title: "Resume" +layout: "single" +url: /about/resume/ +--- + + + +
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Profile

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Data and analytics leader who builds measurement capabilities from +the ground up — and then builds the teams to run them. Across gaming, +energy, financial services, and media, the pattern is the same: inherit +“we have no data,” and leave behind production pipelines, statistical +models, and analytical teams that make better decisions at scale. +Promoted four levels in three years at EA managing cross-functional +analytics organizations. Since leaving EA, completed Wharton’s CTO +Program and took on founding-team roles at early-stage companies to stay +close to the technical work. Ready to bring that combination of +organizational leadership and hands-on depth back to a team that takes +measurement seriously.

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Work Experience

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Quadrant 4Walnut Creek, CA
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Apr 2025 – present Head of Data and Signals
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Joined as employee number one at a startup whose core product +is measurement — permissioned intent signals from engaged users +that outperform the lagging behavioral data dominating ad targeting +today. Built the entire technical and analytical foundation needed to +prove and deliver that value proposition.

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  • Built the full backend and analytics stack solo. Backend +services platform, analytics infrastructure, dbt/DuckDB data warehouse, +Quarto dashboards, and GKE/GCE cloud deployment with CI/CD — all from +scratch.
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  • Rooted company strategy in measurable lifecycle economics. +Applied CLV frameworks before founding to turn an abstract thesis into a +concrete, testable claim — and defined the metrics needed to prove +it.
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  • Architected a platform that made new services trivial to +build. A transport-agnostic FaaS framework with 13+ reusable +modules (async PostgreSQL, circuit-breaking, HTTP clients) reduced new +service build time to under a day — proven by an SKAN postback ingestion +service and an MCP server.
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  • Delivered early unit economics visibility. Dagster +orchestration over a warehouse covering costs, user behavior, and +acquisition performance, plus an MCP server giving business users +natural-language access to metrics without SQL.
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  • Prototyped AI conversation guidance via soft state +machines. Replaced rigid scripted flows with probabilistic state +transitions, producing more realistic conversations and measurably +higher engagement.
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  • Ran Meta user acquisition end-to-end. Expanded into new +Comscore geographies, hit industry benchmark CPRs within weeks through +systematic creative testing, and fixed upper-funnel conversion +leaks.
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IdenzaBay Area, CA
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Oct 2024 – May 2025 Founding Engineer
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Joined a fintech startup as a founding engineer to build core fraud +detection infrastructure — delivering a production-ready rules engine +and API layer before determining the role wasn’t aligned with my +trajectory as a data and analytics leader.

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  • Built a policy-driven fraud detection engine for enterprise +scale. A service that generates Drools DRL rules dynamically from +JSON definitions lets financial institutions encode their own policies +without engineering involvement; a companion classification service +evaluates complex multi-rule transactions in under 10 milliseconds.
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  • Delivered the backend API gateway and integration layer. +Built in Python with PostgreSQL, connecting the front end to the rules +engine and leaving the system ready for client onboarding.
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AstrocadeLos Altos, CA
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Feb 2024 – Oct 2024 Data Scientist
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Sole data scientist at a 20-person AI gaming startup — brought in as +a contractor and converted to full-time based on results — responsible +for building the company’s measurement capability from zero and +translating data into product decisions for the CEO.

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  • Built the measurement foundation where none existed. +Defined telemetry specifications, selected and onboarded analytics +vendors (Amplitude, Statsig), and built the pipelines that gave the +company its first visibility into user behavior and product +performance.
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  • Improved first-user experience through systematic +experimentation. A/B and bandit-style tests on onboarding and game +design led to a simplified FUE flow with materially better completion +and engagement rates.
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  • Identified and activated the core user base. Behavioral +analysis surfaced the highest-value users; a user council channeled +their feedback directly into the product roadmap.
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Glu Mobile / Electronic ArtsSan Francisco, CA
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Mar 2022 – May 2023 Senior Director of Growth Analytics and Data Science
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Promoted four levels in three years (Manager → Senior Director), +ultimately leading business intelligence, marketing analytics, and data +science while on the leadership team of a 250-person organization — +responsible for the measurement systems that shaped product and +marketing decisions at EA Mobile scale.

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  • Saved $100M in marketing spend at a major game launch. +Identified and demonstrated that the incumbent forecasting methodology +would produce bad decisions, convened a cross-functional team, and +implemented a transition state model for cohort growth forecasting as an +R package.
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  • Turned re-engagement marketing from a cost center into a profit +driver. An embedded analytics team transformed campaigns from +money-losing giveaways into programs generating 200% ROI through +continuous measurement and improvement cycles.
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  • Grew revenue by 5%+ through portfolio-level budget +optimization. Analysis revealed reallocation opportunities across +acquisition channels — a significant impact on a budget in the tens of +millions.
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May 2020 – Mar 2022 Director of Analytics and Data Science
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  • Cut marketing analysis effort in half. Led a +cross-functional modernization of the BI practice, migrating from +Hive/Hadoop to a scalable cloud data warehouse with analytics-friendly +schemas.
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  • Navigated Apple’s ATT initiative to protect acquisition +budgets. Built new SKAdNetwork pipelines and analytical strategies +that maintained iOS advertising budgets while competitors pulled +back.
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Mar 2020 – May 2020 Manager, Analytics
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  • Transformed analysts from order-takers into strategic +partners. Created space for analysts to explore beyond PM requests +— leading to techniques like fixed-effects models that surfaced insights +PMs would never have thought to request.
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Ask Media GroupOakland, CA
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2019 – 2020 Director, Data Science
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Led cross-functional data science teams across product and +engineering, steering through written technical leadership — defining +scope, acceptance criteria, and strategic direction in prose while +delivering measurable improvements to search and content systems.

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  • Rescued a broken related search project. Inherited a system +returning “iPhone 4” for “iPhone” queries after six months of +development. Two months after redefining acceptance criteria, automating +the build, and purging stale data, the system was ready for deployment +on a product targeted at $500K+ annual revenue.
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  • Reduced vertical search site build time from three months to +three days. Directed development of a tool automating index +construction for narrow-topic search sites.
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  • Introduced Bayesian A/B testing where no testing capability +existed. Built the company’s first mechanism for measuring product +improvements.
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Oct 2018 – Dec 2019 Data Science Manager
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Aug 2018 – Oct 2018 Data Evaluation Manager
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  • Transformed an analytics team into a delivery-oriented data +science team. Adopted Scrum and built GitLab CI/CD pipelines to +increase delivery cadence.
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  • Opened digital marketing to data science. Championed a +keyword bidding project that produced automated auction data extraction +and bid adjustment within two months.
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  • Built content moderation tooling at scale. A word-vector +classifier for out-of-policy text let editors focus attention where it +was most needed.
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DNVOakland, CAHøvik, Norway
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2016 – 2017 Senior Data Scientist
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Selected for the Analytics Innovation Centre — a small group +assembled for rapid iteration on the company’s digital transformation +agenda — and worked directly with the executive committee to shape +strategy.

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  • Defined requirements and built initial prototypes for +Veracity, the company’s marquee data platform connecting business +consumers and suppliers.
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2011 – 2016 Head of Section for Analytics and Senior Consultant
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Led the west coast analytics group in a first management role, +combining technical leadership on large-scale energy data problems with +business development and direct client delivery for major utilities and +grid operators.

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  • Estimated peak savings for a CPUC energy efficiency program +across 40,000+ utility customers using years of hourly interval data +distributed across a Hadoop cluster.
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  • Built a short-term renewable generation forecasting model +operating at five-minute intervals to reduce grid reliance on +fast-response reserves.
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  • Developed a discrete choice model for light bulb market +shares to estimate counter-factual baselines for residential +lighting programs — producing rigorous net-to-gross ratios.
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  • Led EV adopter identification for CenterPoint Energy, +combining early adopter characteristics with travel survey data to +target geographic concentrations.
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Parsons BrinckerhoffOrange, CA
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Chicago, ILSan Francisco, CAPortland, OROrange, CA
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2001 – 2011 Senior Consultant
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Built simulation software and estimated behavioral models for +regional and statewide transportation planning projects across the US, +with several supporting successful federal New Starts funding +applications.

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  • Developed one of the first discrete choice trip distribution +models for the Salt Lake City regional travel demand model, +replacing the gravity-based approach and supporting a successful New +Starts application.
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  • Lead programmer on the Ohio statewide travel demand model, +simulating long-distance travel for over 20 million persons using +distributed computing.
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Chicago Area Transportation StudyChicago, IL
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1998 – 2000 Engineer
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Supported development of the Chicago region’s 20-year long-range +transportation plan through database design, GIS visualization, and +travel demand model interpretation — an early foundation in the +analytical and computational methods that have defined the rest of the +career.

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Education

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CTO Program
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2023 – 2024 The Wharton School, University of Pennsylvania
Executive education; completed in 9 months
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Master of Science
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1999 – 2001 The University of Illinois, Chicago
Civil and Materials Engineering, emphasis on Travel demand forecasting and simulation
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Bachelor of Science
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1993 – 1998 Marquette University
Civil and Environmental Engineering, emphasis on Transportation engineering and planning
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Technical Skills

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Languages
Python, R, SQL
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Frameworks
FastAPI, Dagster, dbt, Quarto, Drools
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Infrastructure
GCE, GKE, Docker, PostgreSQL, BigQuery, CI/CD
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Methods
Data Warehousing, A/B Testing, Cohort Analysis, Forecasting, NLP, Bayesian Statistics, User Acquisition
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Platforms
Amplitude, Statsig, Meta Ads
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Publications

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Siyu Wu, Andrew Stryker, Julia Vetromile. “Tangled: Isolating SEM Savings.” 2015 ACEEE Summer Study on Energy Efficiency in Industry, 2015.
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Andrew Stryker, Kathleen Gaffney. “Why the Light Bulb is No Longer a Textbook Example for Price Elasticity: Results from Choice Experiments and Demand Modeling Research.” International Energy Program Evaluation Conference, 2013.
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Jay Evans, Andrew Stryker, Richard Pratt. “Traveler Response to System Change, Chapter 17: Transit-Oriented Development.” Transit Cooperative Research Program, Transportation Research Board, 2007.
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G.D. Erhardt, J. Freedman, A. Stryker, H. Fujioka, R. Anderson. “The Ohio Long Distance Travel Model.” Transportation Research Record, 2007.
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Andrew Stryker, Joel Freedman, John Britting. “A Practical Evaluation of Alternative Methods to Trip Distribution.” Transportation Research Board Planning Applications Conference, 2005.
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diff --git a/content/about/resume.md b/content/about/resume.md deleted file mode 100644 index 852bb7a..0000000 --- a/content/about/resume.md +++ /dev/null @@ -1,108 +0,0 @@ ---- -title: Résumé -date: 2023-11-08T10:22:23-08:00 -draft: false -data: - jobs: - EA: - name: Electronic Arts - url: 'https://ea.com' - Glu: - name: Glu Mobile - url: 'https://glu.com' ---- - - - - - -Business leader with strong analytics, data, and marketing expertise. I have -applied data analytics and programming to deliver results across a wide range -of industries, including mobile game marketing, web publishing, the electrical -grid, and transportation. As a manager, I uncover opportunities, remove -impediments, and guide team members toward professional growth. I am known for -developing a strong network within an organization, driving innovative -technical solutions, and effectively coaching a diverse set of team members. - -## Work Experience - -### [Electronic Arts (EA)](https://ea.com) - _Senior Diector of Growth Analytics and Data Science (2020--2023), including - [Glu Mobile](https://glu.com)_ - -Building and leading teams with a focus on growth marketing, including -a cross-functional business intelligence team (in partnership with -engineering), marking analysts (embedded with the Marketing team), and data -science with a focus on user acquisition. I define the vision for growth -marketing analytics and the execution the plan. As a member of EA Mobile’s -Growth Team senior leadership team, I collaborate across teams to more -effectively measure the health of players and games, identify differences in -our players, and discover new opportunities to grow revenue revenue. - -{{< rawhtml >}} -
- -Accomplishments include: - -{{< /rawhtml >}} - - - *Saving the company \$100 million in marketing expenses when launching a - new game.* I surfaced and demonstrated that the incumbent forecasting - methodology would lead to bad business decisions prior to game launch. I - then convened a cross-functional team to tackle the problem. Additionally, - I implemented a transition state model for forecasting cohort growth as an - \texttt{R} package. In addition to reducing wasteful spend, the approach I - drove enabled informed, constructive conversations between the game - development and marketing teams. - - - *Cutting the effort required for analyzing marketing campaigns in half.* - Prior to me joining Glu, we stored player activities in terms game events - and did not completely track our marketing activities. Furthermore, the - tools we were using (Hive and Hadoop) required specialized computing - skills. I assembled a cross-functional team effort to modernize our - business intelligence practice. We now use a scalable, cloud-based - relational data warehouse with analytics friendly tables of key business - processes. We are adopting this approach across the entire EA Mobile - portfolio. - -{{< rawhtml >}} -
-{{< /rawhtml >}} - diff --git a/hugo.yaml b/hugo.yaml index 498df8d..485b6c5 100644 --- a/hugo.yaml +++ b/hugo.yaml @@ -8,6 +8,10 @@ enableRobotsTXT: true params: description: Just a great personal website + author: + name: Andrew Stryker + email: andrewjstryker@proton.me + # PaperMod settings ShowReadingTime: true ShowCodeCopyButtons: true @@ -114,7 +118,7 @@ markup: unsafe: true renderhooks: link: - enableDefault: true + useEmbedded: "fallback" extensions: passthrough: enable: true diff --git a/themes/PaperMod b/themes/PaperMod index e2e1011..10d3dcc 160000 --- a/themes/PaperMod +++ b/themes/PaperMod @@ -1 +1 @@ -Subproject commit e2e1011bdecaf84d59c70fa42ff3d2c29c537b65 +Subproject commit 10d3dcc0e05cee0aaca58a1305a9d824b2cf9a2a