Sign In

Richard Morrisroe

Data Scientist

Richard Morrisroe is a seasoned Data Scientist with over a decade of experience, specializing in data analysis, machine learning, and predictive analytics. He possesses a strong background in product and strategy, as well as technical expertise to drive projects to successful conclusions. Richard has lead numerous complex cross-functional ML/analytics projects to successful completions, demonstrating proficiency in the entire Data Science lifecycle from problem identification to communicating results effectively to stakeholders. He holds a Doctor of Philosophy (PhD) in Psychology, and a Bachelor of Arts (B.A.) in Applied Psychology from University College Cork.

Highlights

Jun 13 · linkedin

Check out how eureciclo leverages Databricks Unity Catalog and Monte Carlo Carlo's data observability together to give the team a unified platform for understanding the health of their platform as a whole, helping them detect and resolve data quality issues faster.If you're at Databricks Data + AI Summit, be sure to stop by Booth #125 to learn more!

Read the full story here:

Jun 5 · linkedin

Monte Carlo's latest survey is here! The results? Data quality risks are evolving rapidly—but data quality methods aren’t. We polled over 200 data leaders and here are just a few of the takeaways we learned:

  • 91% of teams will be offering AI applications in the next 12 months
  • 84% of respondents indicated that it’s the data team’s responsibility to implement a GenAI strategy
  • Over 50% of respondents reportedly experiencing at least one data incident that cost over $100k in the last quarter alone

It’s clear that data quality risks are evolving rapidly. And when data quality risks evolve, data quality methods need to evolve too.  Get the full survey here:

Richard Morrisroe
Add to my network

Location

Ireland