Sharon Lin has big aspirations when it comes to big data. Sharon wants to apply data science to solve California’s mega drought problem by integrating real-time weather data into crop irrigation systems. Additionally, she wants to use advanced image recognition algorithms to predict, track, and monitor endangered wildlife migration patterns to help endangered species from being hunted.
I sat down with her this week to talk about applications of data science in the field of mobile behavioral analytics. Over the last 5 years, Sharon has worked in the emerging field of mobile behavioral analytics and she shared some golden nuggets with me.
Here’s what I picked up:
Mobile analytics and its relationship with evolution and emergence of IoT (internet of things) Privacy, Personalization, and IoT: Sharon shared her brief thoughts on the intersection of these areas. Two main problems most companies face when it comes to fully maximize their data potential, and what to do about it! Difference between data processing engines Spark and HadoopConnect with Sharon on her LinkedIn: Sharon’s LinkedIn or email her at “sharonxlin” at “gmail.com”
