Data Engineering
We hired Sphere to tackle our data challenge: creating a machine learning classification model that could make sense of our data. We needed an accurate model but weren't sure it was even possible given our complex dataset.
They started by cleaning up our data with automated scripts, then moved on to experiment with various NLP models. Using Python, they found the perfect fit for our needs and fine-tuned it to achieve expected accuracy.
The final deliverable was an API integrated into our systems. They ensured everything from the API to training scripts was transferred to our cloud environment, using Kubernetes and CircleCI for a setup.








