LOS ANGELES, Oct. 11, 2016 /PRNewswire/ -- The event showcased the value, social impact and contribution to technological advancements of data science in academic research, industrial implementation and policies making.
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"Data science is never a standalone discipline," said Jason Geng, Data Science Association's board president and CEO of Data Application Lab. "Only by collaborating and applying it to real world problems, can it make full use of its power."
Speakers from companies, schools, and city of Los Angeles gave over 20 talks in five sessions, covering machine learning, distributed data storage, data security and data visualization. The implementation of big data and data science in marketing & advertising, education and finance were intensively discussed.
This conference also provided a great opportunity for students in school to connect with leading data scientist and data engineer, and get better understanding of the technology evolution and requirement from job market.
About Data Science Associations
Our mission is to create a data science learning forum where we will bring together business and academic leaders, professionals, promising students and entrepreneurs. Our conference will demonstrate cutting edge technology, offer unique insight into real-world applications with machine learning and data science, and provide attendees a platform to expand their career networks.
Sponsors and Partners
- Data Application Lab
- LEAP
- Cross Campus
- Videoamp
- LA Cloud Computing
- Techtinx
- Plusyoou
- USC Marshall
- Marshall Data Analytics Club
- HopHR
- Applied Statistics Club
Speakers & Topic
Derek Wang (Founder and CEO at Stratifyd)
- In Pursuit of Augmented Intelligence
Tamara Dull (Director of Emerging Technologies)
- Privacy vs. Security in a Big Data World
Raymond Fu (Practice Architect at Trace3)
- Building Enterprise Advanced Analytics Platform
Haoyuan Li (CEO at Alluxio)
- An Open Source Memory Speed Virtual Distributed Storage
Yves Bergquist (Project Director of Entertainment Technology Center at USC)
- Data Science and Entertainment Industry
Juan Sebastian Vasquez (Data Analyst at Mayor's Operations Innovation Team at City of Los Angeles)
- Battling Bureaucracy: Keep Your Data Project Moving
Kyle Polich (Principal Data Scientist at DataScience, Inc.)
- Common Errors in Machine Learning
Dinesh Srirangpatna (Big Data Solution Architect at Microsoft)
- Big Data and IoT in the 4th Industrial Revolution
Debajyoti Ray (Chief Data Officer at VideoAmp)
- Large-scale consumer graph analytics for cross-screen advertising with Spark
Dusan Bosnjakovic (Data Scientist at Intuit)
- Link Analysis in Fraud Detection
Oren Golan (VP Software Engineering at Sanguine)
- Evolving Graphs while Evolving Pokemon
Austin Clements (Associate at TenOneTen Ventures)
- Raising Venture Capital for your Data Driven Startup
Benjamin Uminsky (Executive Assistant / Data Science at Los Angeles County Registrar-Recorder)
- Min(d)ing the Voter File
Nimbus Goehausen (Senior Software Engineer at Bloomberg LP)
- Spark: Tips & Tricks
Wenjing Zhang (Director of Business Analytics at LinkedIn)
- Advance analytics career from novice to sophisticated
Neal Fultz (Principal Data Scientist at Openmail)
- Going Bayesian in Ad Tech - Two Case Studies
Peyman Mohajerian (Solution Architect at Databricks)
- Applying Apache Spark to Data Science Challenges in Media & Entertainment Industry
Rohan Monga (Sr. Machine Learning Engineer / Data Scientist at Whisper App)
- Personalization at Whisper
John Chao (Manager of Business Analytics and Data Scientist at LinkedIn)
- Elevate the Sales Process: B2B sales intelligence with LinkedIn Social Selling Data
William Wang (Assistant Professor at UC Santa Barbara)
- Scalable Learning and Reasoning for Large Knowledge
Kenan Li (Data Scientist at Data Application Lab)
- GIS application with data science
Min Zhang (CFA, CEO, Totum Wealth)
- Data science applications in FinTech
Emily Thompson (Product Manager at Insight Data Science)
- Academia to Industry: Transitioning to a career in Data Science
Related Files
SoCal Data Science Conference-Brochure.pdf
Related Links
Data Science Association Facebook
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SOURCE Data Science Association
Related Links
http://www.datascienceassociations.org
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