Oct. 21, 2022, 4:36 a.m. | Mark Derdzinski

Towards Data Science - Medium towardsdatascience.com

Bringing together business and data science stakeholders with a centralized queue for analytics requests

Photo by Daria Nepriakhina 🇺🇦 on Unsplash

How do you manage analytics requests coming in on an ad hoc basis? What began for us as a shared email listserv years ago matured into a full-fledged process for capturing, vetting, resourcing, and sharing the output of all “Ad Hoc Analytics” (AHA!) for our data science team. It’s now complemented with a front end for stakeholders to submit …

analytics data science notes-from-industry process productivity product management

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Engineer - New Graduate

@ Applied Materials | Milan,ITA

Lead Machine Learning Scientist

@ Biogen | Cambridge, MA, United States