Strategic thinking is indeed highly valuable in today's complex and rapidly changing world. It involves the ability to analyze situations, anticipate future trends, and formulate effective plans and decisions to achieve long-term goals. Here are some reasons why strategic thinking is considered essential:
Scott Mason - Data Science Developer and Architect
Scott has over has over 15 years of experience designing, developing, and building, dynamic
applications and GAN's
and Data Science Applications
for Fortune 500 companies.
• 6 years of Python and
Pytorch Data Science Development
• Development of API's calling ChatGPT, LLaMA, BLOOM, Hugging Face, and other models
• Development of Appications using LangGraph agents and nodes
• Scott has created Data Visualizations using Python, Databricks, Matplotlib, Plotly, Seaborn. These are delivered via API’s to PowerBI, and UI front-ends
• He architects and optimizes data pipelines to bring in Company data, data from Azure, Snowflake, Databricks, and MongoDB (NoSQL) databases, existing Company data (policie, procedures, FAQ), and existing reports.
• This Company data is then used for Retrieval-Augmented Generation (RAG)
RAG Framework • Retrieval-Augmented Generation (RAG) is a technique where generative models (such as GPT, Claude, CoPilot, etc.) are combined with information retrieval mechanisms. These retrieval mechanisms pull relevant information from Company data sources, which is then used to improve the output of the generative model.
• Scripting in PowerShell and Bash/Linux
• UI/UX and Model-View-View-Model (MVVM) pattern to allow reusable components, both within and across projects, Azure, Azure SaaS, PaaS, IaaS, AWS
• Set up Azure and AWS virtual machines, S3 storage, and AI app development and deployment for ML development using frameworks such as AWS AgentCore or Microsoft Foundry.
• Azure ML and AWS SageMaker, PaaS, SaaS, Docker, Kubernetes, Rancher, and Kubernetes Service (AKS)
• CI/CD using Terraform to automate Continuous Integration and Continuous Development
• Integration of Jira - Git/GitHub
• Development of API's calling ChatGPT, LLaMA, BLOOM, Hugging Face, and other models
• Development of Appications using LangGraph agents and nodes
• Scott has created Data Visualizations using Python, Databricks, Matplotlib, Plotly, Seaborn. These are delivered via API’s to PowerBI, and UI front-ends
• He architects and optimizes data pipelines to bring in Company data, data from Azure, Snowflake, Databricks, and MongoDB (NoSQL) databases, existing Company data (policie, procedures, FAQ), and existing reports.
• This Company data is then used for Retrieval-Augmented Generation (RAG)
RAG Framework • Retrieval-Augmented Generation (RAG) is a technique where generative models (such as GPT, Claude, CoPilot, etc.) are combined with information retrieval mechanisms. These retrieval mechanisms pull relevant information from Company data sources, which is then used to improve the output of the generative model.
• Scripting in PowerShell and Bash/Linux
• UI/UX and Model-View-View-Model (MVVM) pattern to allow reusable components, both within and across projects, Azure, Azure SaaS, PaaS, IaaS, AWS
• Set up Azure and AWS virtual machines, S3 storage, and AI app development and deployment for ML development using frameworks such as AWS AgentCore or Microsoft Foundry.
• Azure ML and AWS SageMaker, PaaS, SaaS, Docker, Kubernetes, Rancher, and Kubernetes Service (AKS)
• CI/CD using Terraform to automate Continuous Integration and Continuous Development
• Integration of Jira - Git/GitHub
Some of the technologies that he works with are:
- - Web development using Python Django, .Net MVVM (Model-View-ViewModel) as a software architectural pattern
- - Development RESTful API's, and FastAPI to allow for Scalability, Platform Independence, Reuse and Extensibility
- - UI/UX front-end development with Angular or Next.JS to provide user friendly experiences
- - Scott is a Certified Data Science Developer and a Certified SAP Consultant
Scott has an innovative approach to solving problems; He brings unique solutions, functionality, reliability, manageability, and performance as major benefits to management as well as customers.
- - Scott has a Bachelor’s degree in Business Administration from the University of Oregon with an emphasis in STEM: Studied Linear Regression, Statistics, Economics, and Calculus I, II, and III, Physics
- - Scott's experience above demonstrates a self-starter approach with the ability to multi-task
- - Experience with Nike, University of California, Addias, Hyundai, and others gives him a unique perspective in working for some of the best run innovators in the world
- - Scott is an excellent writer and has excellent documentation skills
- - Scott is an excellect coposer and writer of AI Prompts
- - Scott is an excellent writer and has excellent documentation skills
Scott continues to stay involved as a Full Stack Developer and has
created this website and many others.
This site is maintained by Scott using Microsoft's Visual Studio and Git version control.
This site is maintained by Scott using Microsoft's Visual Studio and Git version control.
Certifications
- Certification: Stanford
University -
Machine Learning by Stanford University - datamining,
and statistical pattern recognition. Supervised learning
(parametric/non-parametric algorithms, support vector machines, kernels,
neural networks) using (MatLab & the R programming language) -
Link to Certificate
-
Certification: Advanced Scrum Master -
Servant Leadership: Principles and Practices
- PMP
Certified Project Manager PMI
- Certification: Senior Project Risk
Management – 4pm/Hampton Group, Inc.
-
Certification:
Data Science using Python by University of Michigan on Coursera -
Link
- Bachelor of
Arts Degree in Business Administration – heavy emphasis in STEM - University of
Oregon
