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Consultant

for

    business efficiency           
              data science 

      competitive advantage     
                machine learning 

         reliable growth
                  team development
 

Services

Process

Improve efficiency and decision-making for a single business process or across your entire organization

Projects

  • Git repository
  • Python code for data cleaning, exploratory analysis, and model training and testing
  • Terraform code for infrastructure deployments on AWS and/or other cloud providers
  • GitHub/Gitlab CI/CD pipelines for code, data, and model testing, validation, and deployment
  • Detailed written report with specific recommendations for improvements to code and analytics

Example Deliverables

  • Custom data science and machine learning analysis and applications
  • Analytics infrastructure implementations on-prem and on the cloud
  • MLOps, DevOps, analytics code testing, audits, and second opinion

Strategy

  • Functioning MLOps workflow using AWS SageMaker, Kubeflow, and/or Mlflow
  • Infrastructure specifications, including diagrams, cost estimates, and written rationale for technologies and tools
  • Recommendations for valuable data sources both in-house and to purchase from reliable vendors
  • Automated business intelligence reporting across operational and analytical processes

Example Deliverables

  • Identify opportunities to use data and analytics to expand business model and revenue streams
  • Custom infrastructure design across the whole data lifecycle: from data capture to predictive analytics
  • Process mining and data discovery to find new data sources that add value to your business
  • Budget- and cost-transparency across complex data and analytics workloads

People

Start or grow an analytics team that meets the specific needs of your business

New Teams

  • Detailed hiring materials, including interview questions, customized analytics assessments, and recommendations for where to find new candidates
  • Candidate interviews and evaluations
  • Interim analytics team management until a suitable long-term candidate is found

Example Deliverables

  • Advice for how and when to start a new analytics team
  • Development of business-specific hiring processes and practices for analytics roles
  • Seeding new analytics teams until they become self-sufficient

Existing Teams

  • Detailed hiring materials, including interview questions, customized analytics assessments, and recommendations for where to find new candidates
  • Technical best practice guide tailored to your business, including expectations for technology stack, style guide, and minimum testing specification
  • Hands-on sessions working with code and infrastructure, including pair/team programming, code reviews, and documentation writing

Example Deliverables

  • Accelerated digital transformation by establishing analytical best practices
  • Development of business-specific hiring processes and practices for analytics roles
  • Improved collaboration and technical knowledge sharing

Who I Am

Nick Settje

  • Data Scientist
  • Machine Learning Engineer
  • Technical Team Lead

Learn More

Nick has been writing code to analyze data and solve statistics and modeling problems for more than 10 years. He has been a founding member of analytics teams in Asia and the US, working with multi-million-dollar budgets from startups to the Fortune 500. 
 
His focus has always been on meeting the specific needs of each business simply and efficiently. He relies on an ever-growing arsenal of software, methods, and skills, making sure to choose the correct tools for the problem at hand. To date, he has deployed production-ready analytics applications using more than 15 programming languages and hundreds of open-source and proprietary libraries and packages.
 
He is an alumnus of Cornell and Stanford.

Showcase

Highlights from the Blog

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