Karen Suenaga

My career started in Mechatronics Engineering in R&D of medical devices then transitioned to Data from Data Analytics and Business Intelligence that was very close to the business' problems to help with data driven decisions. And finally transitioned to Data Science when I finally was able to use my technical background by applying statistics and programming skills to support more complex data driven decisions with a predictive feature and more accurate results.

I've been able to work in multiple domains that include: luxury fashion industry, healthcare medical devices, biopharmaceutical industry, strategic consulting, energy, telecommunication, and beauty industry.

Besides the data career I am a mother of two and live in a small city in the countryside very close to the nature and inspiring landscape views.

Main Knowledge / Skill set: Data Science, Machine Learning Engineering, Analytics and Visualization. Python, Spark, AWS, Databricks.