Andrew Schell

About Andrew Schell

AboutI transform how organizations leverage their data assets—from struggling with siloed information to becoming data-driven industry innovators. Through my comprehensive Data or Model First Framework I guide both established companies and forward-thinking startups through a systematic methodology that converts underutilized data into strategic business value.My approach helps organizations across biotech, pharma, finance, medical, and legal sectors:Gain absolute clarity on their data architecture and opportunitiesDevelop robust data pipelines that efficiently extract actionable insightsBuild strategic data governance that balances compliance with innovationTransform raw information into competitive advantage and revenue growthFor service-based businesses, I create data-driven strategies that elevate operations beyond commodity competition. For companies introducing innovative solutions, I develop data infrastructures that establish them as leaders in their space.As Chief Data Officer at MADD Kitchen, I\'m expanding upon my previous work by architecting AI-driven systems for personalized dining experiences. This builds directly on my experience developing customer analytics and data monetization strategies across multiple industries, now applied to revolutionize the hospitality sector through data-driven insights.My background in data engineering and business intelligence, combined with extensive experience in fractional CDO services and infrastructure modernization, allows me to help organizations transform from being data-overwhelmed to becoming architects of data-driven evolution.Whether you\'re a biotech firm seeking to optimize research data, a financial services provider building customer analytics, or a company ready to leverage AI for personalization, I provide both strategic frameworks and implementation support to position you for data leadership.Let\'s explore how strategic data architecture can transform your business operations. Visit to learn more* ARR strategies for Operationalizing Data Analytics* Artificial Intelligence ( e.g. Agents, NLP, TTS, STT, ML)* Data Science: Model Research, Statistical Thinking, Algorithm Design, Stakeholder Communication.* Python: Scikit-learn, Pandas, Numpy, Anaconda, Jupyter Notebooks.

Experience

1. Advisor

   Vahati Association

   Jan 2024 — Present · Seattle, WA, US

   Collaborating and guiding inspired minds with a bias to action, Vahati is a thriving organization for community

Education

• Galvanize Inc

  Data Science - Python

  2018 — 2018

• Stanford University School of Engineering

  Edx Relational, SQL Databases

• Bellevue College

  Bachelor of Applied Science - BASc, Data Analytics

Skills

• Microsoft Excel
• Machine Learning
• Data Migration
• Needs Analysis
• Algorithms
• Data Science
• Software Documentation
• Social Media
• Start-Ups
• Kpi Dashboards
• Power Bi
• Analytics
• Retirement Planning
• Consultative Selling
• Databases
• Economic Data Analysis
• Customer Service
• Investments
• Insurance
• Google Analytics
• Data Modeling
• Computer Science
• Process Engineering
• Python
• Scrum
• Strategic Financial Planning
• Data Analysis
• Jupyter
• Listening to Customers
• Marketing
• Project Management
• Amazon Web Services (Aws)
• Crm
• Strategic Planning
• Management
• Team Building
• Customer Relationship Management (Crm)
• Training
• Sql
• Process Automation