Most businesses have heaps of data but no way to turn it into something useful.
If your products aren't selling well, your customers are disengaged or you want to create new products or services, you need to make use of all this stuff filling your hard-drives.
We could develop bespoke tools that help you listen to what your data is telling you, allowing you to make more informed business decisions.
Who knows what we could discover, we could find patterns in your users activities, identify unexplored niches, accurately predict stocks, and all specifically catered to your business.
Want to find out more? See what services we offer
Data Engineering
By sorting and storing potentially useful data sets, filtering out bugs, cleaning them up, we can discover how useful they are. We build dashboards, tools, and plugins allowing you and your team to oversee your data cleanly. This includes:
Analying data for integrity
Readying data for accurate analytics
Data architecture design
Cloud database integration
Machine Learning
By bringing together many unique data sets which may not usually used in data analysis, we can make important decisions. Like predicting stock returns, financial markets, or discover which horse is best for breeding. Applications include:
Business Inteligence
Recommendation systems
Optimization algorithms
Workshops & Conferences
I’ve spoken at large meetups, on panels and in conferences about developing data driven machine learning techniques. I've trained accountants to code, enabling them to automate most of their work.
I am currently a Data Science Instructor for General Assembly’s 11-week Data Science Course.
Has previously spoken at
Contact us to discuss your needs
Team
John Sandal
Data Science Consultant
Over the years, John has added a number of strings to his bow. Statistician, geneticist, business analyst, startup founder, software developer, educator, non-profit strategist, data scientist, multi-instrumentalist!
Until recently he was the Lead Data Scientist at YPlan. Prior experience includes business analytics at Apple Inc., genomics research at Imperial College London, building an ed-tech startup at Knodium.