Benjamin Croft Email & Phone Number

Boise, Id, Us

Boulder, Colorado, Us

Boulder, Colorado, Us

- Define the organizational strategy and roadmap for developing and sustaining data products. This includes the implementation of data architectures, data models, and data orchestration patterns that feature: data quality checks, observability, testing, metadata management, data cataloging, data governance, and blueprints for effective analytics engineering.- Work closely with the Chief Data Officer (CDO), data analytics teams, IT Systems Engineering teams, data governance groups, and other campus technologists to build data solutions that increase the value of campus data as an asset. This includes improving data enablement, developer advocacy, democratizing insights through self-service, and activating campus-wide data capabilities that improve institutional effectiveness and student success.- Manage end-to-end delivery of data as a product by bringing structure to business requests, translating requirements into an agile development framework, and leading sophisticated projects through completion.

Boulder, Colorado, Us

- As a Project Technical Lead, provide strategic direction for the design and development of a modern enterprise data architecture, including co-development with software and systems engineering teams, remediation of complex legacy codebases, and implementation of an enterprise data platform established on a data mesh framework, high-performance data pipelines, and application event streaming- Build and maintain automated data pipelines and DAGs to collect, manage, and transform raw enterprise data into rich data across a wide array of institutional domains-Integrate institutional data from diverse sources (RDBMS, APIs, SFTP, S3, etc.) with internal and third-party SaaS applications; translate customer requests and business needs into technical specifications for rapid project management- Identify, design, and implement improvements to internal processes and data infrastructure for enhanced scalability, reliability, security, observability, data governance, and value- Adopt and deploy modern data tools and technologies (including Airflow/Prefect, Red Hat OpenShift, Kubernetes, Apache Kafka, Minio/S3, Oracle/RDBMS, SQL, GraphQL, Python, Java, Ansible, AWX, Jenkins CI/CD, shell, etc.)

Boise, Id, Us

Facilitated the design and implementation of strategic data science across the organization; consult enterprise stakeholders in quantitative methodology, advanced data analysis, and applied analyticsLead and executed statistical analysis projects, including: (i) identifying and documenting relevant data sources for stakeholder needs, (ii) designing and implementing reproducible and scalable algorithms and statistical models to mine large datasets, (iii) analyzing data for trends, patterns, and insights, and (iv) interpreting and presenting data analyses to decision makers.Constructed statistical models to predict and analyze student success and retention (GLM, MLM/HLM, DT and RFs, SVM, GEE, PCA, factor analysis, bagging and boosting, etc.). Designed methods for domain-specific research studies as well as enterprise predictive modeling.Translated statistical and machine learning methods into actionable, meaningful insights for institutional leaders.R / ggplot2 / sparkR • Python • Git/Github • SQL / SQL Server • Shell •Tableau • Amazon Web Services (AWS) • Google Data Studio • Qualtrics • Adobe Illustrator • Adobe InDesign • d3.js • Pig • Hive • Spark • Docker • NVivo • Dedoose

Boise, Id, Us

Executed analytics projects to propel institutional objectives and effectiveness; built end-to-end data science pipelines to answer quantitative research questions.Facilitated strategic planning across departments, units, and teams; consulted faculty, administrators, and advisors to identify and develop key performance indicators, reports, and evaluative metrics; facilitated strong working relationships with research partners and end-users, supported the institutional implementation of data analytics solutions; automated large-scale reporting initiatives; developed data visualizations to trigger timely interventions for student success using SSRS, R, Python, Tableau, and AWS.Presented and facilitated large workshops and public speaking events on statistical analysis, machine learning and computing, data governance, and diversity and inclusion within online pedagogy; led cross-unit collaborations on communities of practice with institutional data.Wrote queries and scripts to extract, clean, merge, and analyze large amounts of raw, complex data from diverse sources including relational databases and data warehouses with SQL and Microsoft SQL Server; prepared detailed reports for non-technical audiences to foster a culture of data-driven decision-making and root-cause analysis.R / ggplot2 / sparkR • Python • Git/Github • SQL / SQL Server • Shell •Tableau • Amazon Web Services (AWS) • Google Data Studio • Qualtrics • Adobe Illustrator • Adobe InDesign • d3.js • Pig • Hive • Spark • Docker • NVivo • Dedoose

Id, Us

Consulted with cross-institutional stakeholders in the design and development of automated data analytics and reporting processes (Python, VBA). Provided detailed, meaningful analytics for data-driven decision-making; produced deliverables, dashboards, and ad hoc benchmark reports for executive stakeholders; translated complex data into succinct and actionable insights.Taught five mathematics courses (introductory algebra through precalculus); tutored math courses including multivariate calculus and statistical methods; supervised and trained tutoring staff members.Served on Veterans Upward Bound grant-writing committee, successfully obtaining the grant; led external partnership outreach initiatives across the region; provided data analysis and writing support.

Established educational programming to empower underserved students through competitive forensics and college admissions; taught competitive public speaking and debate events resulting in state, and national championship titles. Conducted data analysis on public education datasets for student needs assessment; used statistical techniques to evaluate program outcomes and design future curricula. Designed and evaluated comprehensive marketing campaigns by analyzing market data and building relationships with key stakeholders.

Master Of Science, Analytics

Bachelor Of Science, Economics, Mathematics