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Sharon Lin has big aspirations when it comes to big data. Sharon wants to apply data science to solve California\\u2019s mega\\xa0drought\\xa0problem by\\xa0integrating 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\\xa0endangered 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.\\xa0

Here\\u2019s what I picked up:

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• Mobile analytics and its relationship with evolution and emergence of IoT\\xa0(internet of things)
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• Privacy, Personalization, and IoT: Sharon shared her brief thoughts on the intersection of these areas.\\xa0
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• Two main problems most companies face when it comes to fully maximize their data potential, and what to do about it!
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• Difference between data processing engines Spark and Hadoop\\xa0
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Connect with Sharon on her LinkedIn:\\xa0Sharon\\u2019s LinkedIn\\xa0or email her at \\u201csharonxlin\\u201d at \\u201cgmail.com\\u201d