Data science: collecting and analyzing data; modeling; generating insights and predictions.
End-to-end development: experiment design; accurate, low-overhead data collection; automation; large-scale data processing with Hadoop, Hive, etc; machine learning and predictive analytics.
Top-to-bottom development: from statistical analysis and data visualization; through pipeline streamlining; to low-level optimizations, including mainstream and accelerator architectures.
Early stage startups: emphasis on actionable, high-leverage analytics; gluing together open-source technologies and cloud infrastructure for quick prototyping.
Contact Information
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