Dan Schreck

About Dan Schreck

I help organizations unlock the full potential of their data through AI, analytics, and automation—driving smarter decisions, greater efficiency, and long-term scalability. As a trusted thought partner to CxOs, VPs, and Directors, I deliver innovative, cost-effective solutions tailored to each client’s unique goals. With experience leading cross-functional teams across global enterprises, I bring a hands-on, results-driven approach to technical leadership. My track record includes designing and deploying high-impact AI and BI platforms, building high-performance teams, and delivering sustainable outcomes. I specialize in solutions that improve key business drivers:* Automating workflows with AI and data to streamline operations * Empowering teams with self-service BI and analytics to reduce costs * Designing maintainable systems for long-term independence * Turning complex challenges into actionable insights through dataMy mission is simple: maximize ROI by “automating myself out of the job.” I focus on delivering the right tools, training, and strategy so clients thrive without ongoing dependency.

Experience

1. Artificial Intelligence Engineer

   Lear Corporation

   Jan 2023 — Present · Austin, TX, US

   Led efforts to implement Palantir Foundry for data orchestration, engineering, dashboards, A.I, and cloud applications.• Designed an A.I. solution to allow use of a Chatbot to answer questions about corporate data. Automated translations and frequently asked questions.• Developed APIs, visualizations, user interfaces, automated data pipelines, and Python scripts for structured data from multiple sources.• Lowered cost by fitting the right LLM/GPT models depending on the need.• Provided guidance and training to Lear engineers, executives, and users.• Responsible for end-to-end development and project management of a strategic platform providing leaders with KPIs and data for key labor decisions.

Education

• Louisiana State University

  Master of Business Administration - MBA, Data Analytics

• DeVry University

  Bachelor of Science (BS), Electrical and Electronics Engineering

  1989 — 1992

• UC San Diego

  Big Data Modeling and Management Systems using Python

  2016 — 2016

• Community College of the Air Force

  Associate of Applied Science, Electrical and Electronics Engineering

  1983 — 1987

• The Johns Hopkins University

  Data Science Specialization using R

  2017 — 2017

Skills

• Python
• Scrum
• Asp
• Apache Spark
• Amazon Web Services (Aws)
• Software Development Methodologies
• Performance Management
• Crm
• Consulting
• Actuate Birt
• Splunk
• Birt Ihub F-Type
• Data Integration
• Amazon Ebs
• Business Intelligence
• Tableau
• Sql
• Asp.net
• Data Analysis
• Crystal Reports
• Xml
• Executive Compensation Planning
• Business Objects Xi
• R
• Javascript
• Amazon Vpc
• Microsoft Sql Server
• Sdlc
• Performance Appraisal
• Oracle
• Integration
• Oracle Sql
• Sql Reporting Services
• Saas
• Requirements Analysis
• Talent Management
• Amazon S3
• Web Applications
• Sql Server
• Data Sci