who we are.
Danny Scott is a machine learning engineer with years of experience devoted to helping make AI possible for you and your business. Some notable clients Danny has worked with includes Nike, Yamaha Corporation of America, Kaiser Permanente, Google, Universal Pictures, PatientPop and other private clients. After receiving his degree in Computer Information Systems at CSULA, Danny dedicated his time to learning the easy and efficient ways to help a business get, understand and learn from the data they need to make smarter data-driven decisions. Danny has many years of experience with coding in Python, SQL and Cloud Computing Platforms using Amazon and Google. He has given several seminars on the practical aspect of how to apply new data science processes for businesses. Danny loves to write and talk about data science including data engineering, business intelligence, machine learning and he is very motivated to help people developing data-driven solutions without necessarily requiring a data science background. In his free time, Danny loves to produce music and create DJ projects, and you may find him traveling to learn new languages and cultures when not knee deep in code.
what we believe.
mind | movement | machine.
Mind Movement Machine believes that AI is going to be everywhere in the near future, and that helping make AI possible for you and your business will allow you to have a competitive edge when it comes to making smarter decisions. The problem you may face with AI is that with so many new technologies, languages, platform and frameworks, how and where should you start? Throughout the years, Mind Movement Machine was developed as a framework to help new businesses with implementing AI in an easy and maintainable fashion by leveraging tools such as Python Machine Learning and Cloud Computing platforms to build a scalable and resilient data location for you.
how we help.
Get. > Understand. > Predict.
Mind Movement Machine believes we can help you make AI possible by simplifying the process for data science into 3 steps:
1. Data Engineering
First, you must get the data that can bring value to your business, whether that data is used to help digital marketing, logisitics, website analytics, billing transactions, financial or all the above. We can help with data engineering to get you the data you need.
2. Data Analytics
Second, before you attempt to make predictions or learn from your data, you must understand all your data by using business intelligence graphs and charts to see how your business is currently performing and can be improved.
3. Machine Learning
Third, now that you have the data you need in a central location that is easy to access, and you understand how your business is performing by using the new data, you can use the data for machine learning to help predict and become a data-driven organization.
