Pandas specialists for your dedicated team.

Where Pandas fits in a long-term product team.

Pandas is where analytical work lives, and where it becomes unreproducible. A notebook with cells run out of order, a dataframe mutated in place four times and a result that can't be regenerated is the normal state of analysis that was never meant to be repeated, until it was.

It works in memory, which sets a real ceiling. Past that point the options are sampling, chunking or pushing the work into the warehouse, and the warehouse is usually right, because a database handles joins better than a laptop.

What your dedicated team does with Pandas.

Analysis becomes infrastructure without anyone deciding it should. A notebook written once to answer a question gets run monthly, then depended on, and eventually a business process rests on a file on somebody's machine.

Catching that early is a benefit of continuity. When the work has become a pipeline, it should be rebuilt as one by a dedicated data engineering team.

Common Pandas use cases.

• Analysis that can be re-run Notebook work restructured into scripts that produce the same answer twice.
• Feature preparation for a model Cleaning and shaping that is version-controlled and applied identically at training and inference.
• Moving work to the warehouse Heavy joins pushed into SQL, leaving Pandas for the work that needs it.

Adding Pandas skills to your team.

This work sits within a dedicated data science team.

Pandas specialists join your team remotely as dedicated, full-time team members, selected, employed and managed by us in Chiang Mai and Bangkok. Companies that hire offshore developers through Azendo add the skill at the next monthly cycle.