Daniel Hsu Email & Phone Number
Who is Daniel Hsu? Overview
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Daniel Hsu is listed as Chief Technology Officer at Preecon, a with 8 employees, based in San Francisco, California, United States. AeroLeads shows a matched LinkedIn profile for Daniel Hsu.
Daniel Hsu previously worked as Data Scientist at Genentech. Daniel Hsu holds Bachelor'S Degree, Computer Science from University Of California, Berkeley.
Email format at Preecon
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About Daniel Hsu
Areas of interest:Algorithms and Data StructuresLarge Scale Software ArchitectureMathematical ProgrammingCombinatoricsOptimizationGraph TheoryAdvanced MathCryptographyMachine LearningBig DataHadoopSpecialties: Algorithm Intensive Large Scale Software ProjectsOlympiad level math tutoring
Listed skills include Statistical Modeling, Etl Testing, Python, Big Data, and 12 others.
Daniel Hsu's current company
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Daniel Hsu work experience
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Data Scientist
Colleagues at Preecon
Other employees you can reach at preecon.io. View company contacts for 8 employees →
Daniel Hsu education
Frequently asked questions about Daniel Hsu
Quick answers generated from the profile data available on this page.
What company does Daniel Hsu work for?
Daniel Hsu works for Preecon.
What is Daniel Hsu's role at Preecon?
Daniel Hsu is listed as Chief Technology Officer at Preecon.
Where is Daniel Hsu based?
Daniel Hsu is based in San Francisco, California, United States while working with Preecon.
What companies has Daniel Hsu worked for?
Daniel Hsu has worked for Preecon and Genentech.
Who are Daniel Hsu's colleagues at Preecon?
Daniel Hsu's colleagues at Preecon include Richard Smith, Lukas Meierhof, and Caroline Hoven.
How can I contact Daniel Hsu?
You can use AeroLeads to view verified contact signals for Daniel Hsu at Preecon, including work email, phone, and LinkedIn data when available.
What schools did Daniel Hsu attend?
Daniel Hsu holds Bachelor'S Degree, Computer Science from University Of California, Berkeley.
What skills is Daniel Hsu known for?
Daniel Hsu is listed with skills including Statistical Modeling, Etl Testing, Python, Big Data, Predictive Analytics, Project Management, Software Engineering, and Business Intelligence.
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