Tyler Burkett

CEO

San Francisco, California, United States15 yrs 1 mo experience

Most Likely To SwitchAI Enabled

Key Highlights

Top 50 in Data and Analytics by Oncor in 2021
Led data transformation at multiple companies
Expert in predictive analytics and data science

Stackforce AI infers this person is a Data Analytics and AI expert with extensive experience in SaaS and Fintech.

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Skills

Core Skills

Data & AnalyticsAiData AnalyticsBusiness IntelligenceData ScienceAnalyticsPredictive AnalyticsData WarehousingRecommendation SystemsStrategyData Analysis

Other Skills

Data & AI TransformationData LakeGenAI applicationsData pipelinesBI infrastructureAnalytics EngineeringInfrastructure buildingSales leadsMarketing targetingRetention intelligenceDashboardsData modelingChurn risk modelAnomaly detectionRedshift

About

Previously lead Recommendation/Revenue Analytics @ Credit Karma (acquired), Data & Analytics at BuildingConnected (acquired), led Data Science & Analytics @ Autodesk, and was on the executive team at @ Settle. Voted Top 50 in Data and Analytics in 2021 by Oncor. Graduated with honors from Chicago Booth’s full-time MBA program.

Experience

15 yrs 1 mo

Total Experience

2 yrs 1 mo

Average Tenure

2 yrs 9 mos

Current Experience

Andreessen horowitz

Partner, Data & Analytics + AI

Aug 2023 – Present · 2 yrs 9 mos · San Francisco, California, United States · On-site

Leading Data & AI Transformation:
Built enterprise data lake unifying structured/unstructured data sources
Developing GenAI applications to boost firm efficiency
Building data pipelines and BI infrastructure
If you're passionate about data & AI, let's connect.

Data & AI TransformationData LakeGenAI applicationsData pipelinesBI infrastructureData & Analytics+1

Settle

VP of Data Analytics

Sep 2021 – Aug 2023 · 1 yr 11 mos · San Francisco Bay Area

Led Settle's efforts in Analytics Engineering, Data Science, and Business Intelligence. We use our data to improve our underwriting, protect against fraud, grow revenue via sales + customer success analytics, and improve our product. My team provides the backbone for each of these functions through the constant building and improving of infrastructure, predictive analytics, growth recommendations, and more.

Analytics EngineeringData ScienceBusiness IntelligencePredictive analyticsInfrastructure buildingData Analytics

Autodesk

Director - Data Science and Analytics

Dec 2019 – Sep 2021 · 1 yr 9 mos · San Francisco, California

Led centralized Data Science & Analytics for Autodesk - driving leads for Sales, improving targeting for Marketing, and improving retention intelligence for Customer Success.

Data ScienceAnalyticsSales leadsMarketing targetingRetention intelligence

Buildingconnected

Director, Head of Data & Analytics (acquired by Autodesk)

May 2018 – Dec 2019 · 1 yr 7 mos · San Francisco, California

(Acquired by Autodesk)
Established Data team at BuildingConnected - supporting Product, Marketing, Customer Success and Sales via predictive analytics, dashboards, and deep-dive analyses.
We built and ran the following projects:
Data Warehouse in Redshift (later migrated to Snowflake)
Data Modeling for clean, curated tables for Analysis (using dbt)
Churn Risk Model to improve retention
Lead Score Model
Look-a-like models to drive outbound leads
Anomaly Detection using Python, Lambda, Slack
Product Analytics Dashboards (usage, cohort analysis)
Multi-touch Marketing Attribution Model
Tableau dashboards for all stakeholder teams

Predictive analyticsDashboardsData modelingChurn risk modelAnomaly detectionData Analytics+1

Credit karma

Head of Recommendation Analytics

Jun 2016 – May 2018 · 1 yr 11 mos

(Acquired by Intuit)
Improved the performance of our Recommendation/Monetization System by effectively matching members to offers that are both appropriate and appealing to them.
Forecasted revenue and business performance, working closely with our FP&A + BD teams.
Designed and implemented A/B tests to improve monetization & conversions on our site.
Monitored the health of our business via dashboards + anomaly detection, relying heavily on Python + SQL.

Recommendation AnalyticsForecastingA/B testingDashboardsAnomaly detectionRecommendation Systems+1

Capital one

4 roles

Business Manager

Jan 2014 – Jul 2014 · 6 mos

Lead Pricing Analytics for Home Loans Department

Pricing AnalyticsHome LoansData AnalysisAnalytics

Business Manager - Corporate Strategy

Jan 2013 – Dec 2013 · 11 mos

Worked on partnerships and long term strategic projects for SVP of Strategy

Corporate StrategyPartnershipsStrategy

Senior Strategy Analyst

Oct 2012 – Jan 2013 · 3 mos

Senior Business Analyst

Jul 2010 – Oct 2012 · 2 yrs 3 mos

Created first pricing sensitivity model using SAS/R for Capital One Home Loans Business; Used model to drive all pricing decisions
Lead product design/rollout for multiple products; worked with IT through implementation