About Strong

We are passionate, full-stack data scientists, evolving our clients’ businesses through machine learning and AI.

Our Story

In 2016, Strong Analytics was founded with the idea that organizations of all sizes should be able to build amazing things with data science and machine learning.

We took a practical approach to data science consulting – backed by academic rigor, technical expertise, and a streamlined production process that moved projects from ideation to production very efficiently.

Since our founding, Strong has grown to a team of PhD-level data scientists with cross-industry and academic expertise to help our clients solve their hardest data science problems.

Our Team

Brock Ferguson
Co-Founder, Principal Data Scientist
Jacob Zweig
Co-Founder, Principal Data Scientist
Jacob Dink
Data Scientist
Noah Salas
Data Scientist
Juan Llanos
Data Scientist
Scott White
Data Scientist
Mariela Perignon
Data Scientist
Joseph Day
Data Scientist
Adnan Umer
Engineer
Sean Lonergan
Project Manager

Our Values

Dedication

We’re dedicated to our clients. Your needs and problems always come first, and only with a deep understanding of your business can we solve those problems.

Credibility

Data science is a complex and dynamic industry that’s frequently misunderstood. That’s why our credibility is a cornerstone of our identity.

Rigor

Every step of our process is defined by rigor. We validate results before sharing them, and we’re upfront with clients when we come across challenges in their data.

Collaboration

Collaboration flows between our clients, the Strong team, and the data science community as a whole. Internally, we share what we know freely, and we’re never afraid to ask each other for help.

Efficiency

We care about scalability and efficiency as much as our clients do. From our project management tools to our development process to our documentation, effectiveness is at the core of what we do.

Fun

We enjoy heated video game tournaments, communicating with far too many GIFs, and getting a bit goofy.