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Arun Swami is listed as Technical Leadership ♦ Solve Business Problems With Insights from Big Data Derived Using High Performance Algorithms at LinkedIn, based in Cupertino, California, United States. AeroLeads shows a work email signal at linkedin.com, phone signal with area code 408, 203, 650, and a matched LinkedIn profile for Arun Swami.
Arun Swami previously worked as Principal Staff Software Engineer at Linkedin and Chief Data Scientist at Dtex Systems. Arun Swami holds Ph.D., Computer Science from Stanford University.
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AeroLeads found 1 current-domain work email signal for Arun Swami. Compare company email patterns before reaching out.
I love solving hard problems that lead to personal learning and growth. A key theme of my career is solving business and technical problems using large data and machine learning.♦ Work with business leaders to identify problems, map the problems to appropriate technologies, and often led the effort to build the solutions. This can be seen in my work as Chief Data Scientist at Dtex Systems, as the CTO at Digital Jones, and as the co-founder and CTO at Neta.♦ Keep on top of evolving technologies and use them as needed to build solutions. I not only lead the effort but also build significant parts of the solutions.♦ Advise start ups and VC firms. VC firms have used me for technical due diligence on prospective investments. For example, serve as technical advisor to startups like iHealthFrontier (an ACO infrastructure and analytics company).LINKEDIN: Created a novel data validation system (Data Sentinel). Led a cross-organizational team to build and launch a company-wide data validation service.DTEX SYSTEMS: Provided thought leadership on using Data Science in Dtex's products. Standardized analysis on the Scala/Spark platform. Designed and implemented a risk scoring application that brought processing times down by a factor of 100. The platform that I built for storing analytic data is used in multiple applications.DIGITAL JONES: Led the development of a knowledge base and inference algorithm that allowed us to build 10x more product guides.NETA: Co-founded, built technology, presented to customers and investors, led the due diligence for the acquisition by Infoseek.INTERNET PROFILES: Built a new version of the Web log analysis system that resulted in a 10x speed up with a 5x decrease in memory usage.SGI: Designed and implemented key pieces of MineSet (one of the first data mining and visualization products).I have worked with Scala, Spark, Java, Python, and R using data processing and analytics on multiple projects and business applications.
Listed skills include Algorithms, Data Mining, Big Data, Machine Learning, and 38 others.
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A career timeline built from the work history available for this profile.
Sunnyvale, CA, US
Started inLabs initiative to improve documentation for engineers. An inLab succinctly describes how to accomplish some task. Wrote the first 5 inLabs. Reviewed inLabs contributed by engineers. Over 200 inLabs have been contributed by over 160 engineers. LinkedIn uses inLabs to improve engineering productivity.Designed a data validation system (Data.
Saratoga, California, US
Hired to build and lead a data science and engineering team to develop analytic applications.♦ Recruited and supervised a data scientist, a data engineer and a summer intern. Mentored engineers building a data pipeline.♦ Designed and implemented a risk scoring application for insider threat using time series data. New application is 100x faster than the.
Was hired to develop algorithms for cyber security using data science.♦ Architected and built several analytic applications for cyber threat detection.♦ Introduced Scala and Spark within the company.
Mountain View, CA, US
♦ Designed, built, and launched search ranking feature to reduce time to result (TTR).♦ Improved Gmail search by reducing frequency of unsuccessful searches by a factor of 2.♦ Designed and prototyped suggestions in Google TV to help increase engagement.♦ Led project using Python to provide new insights into ad performance for Sales. Worked with Sales.
San Jose, CA, US
♦ Hired as an Entrepreneur-in-Residence to identify product opportunities in data mining.♦ Lead project in Java and Python to develop data mining technologies and visualizations.♦ Worked with the Adobe LiveCycle product to tailor technology to their needs.
Norwalk, Connecticut, US
Was hired to provide a data-centric perspective in the Information Systems Laboratory.♦ Participated in team looking at new applications in computational biology.♦ Collaborated with Scripps Institute to identify problems of interest.♦ Studied fundamentals of molecular/computational biology and algorithms in these areas.
Was hired to lead the development of technology to rapidly build product guides.♦ Developed product guide technology to aid customer purchasing decisions.♦ Created a novel knowledge base structure and inference algorithm that allowed us to build 10x more product guides.♦ Worked with the founders to close acquisition by DealTime/eBay.
♦ Architected and developed a Java-based E-Commerce product for customer engagement.♦ Designed and implemented system for marketers to take informed actions in real time.♦ Developed the product architecture and technical direction for the company.♦ Ensured a successful due diligence and acquisition.
I/Pro provided a Web log analysis service to hundreds of large and small customers.♦ Resolved a critical customer situation involving Netscape.♦ Was responsible for a new version of the Web log analysis system that resulted in a 10x speed up with a 5x decrease in memory usage.
Milpitas, CA, US
♦ Hired to develop data mining technologies for SGI.♦ Designed and implemented SGI's data mining product (MineSet 1.0).♦ Helped with product strategy, wrote white papers, and worked with external customers.♦ Supervised four summer interns and worked with university faculty to recruit outstanding people.
Armonk, New York, NY, US
♦ Data Mining ◊ Invented association rules technology, developed a classifier that scales with large databases, published new indexing scheme to speed up queries over sequence data.♦ Database Algorithms and Query Optimization ◊ Developed new join optimizer for IBM's DB2/400 DB product. ◊ Invented methods for better estimates for join sizes, accurate.
Other employees you can reach at dukelong.com. View company contacts →
Angela Shao
Colleague at Linkedin
San Francisco Bay Area, United States, United States
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YW
Yafei Wei
Colleague at Linkedin
San Francisco Bay Area, United States, United States
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GO
Guillaume Orain
Colleague at Linkedin
San Francisco Bay Area, United States, United States
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ME
Michael Ernst
Colleague at Linkedin
Santa Clara, California, United States, United States
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JD
Johnm6Mpp0618-110355 Doe
Colleague at Linkedin
San Francisco Bay Area, United States, United States
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RV
Renjith Varma
Colleague at Linkedin
Bengaluru, Karnataka, India, India
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AR
Arthur Rosa
Colleague at Linkedin
Sunnyvale, California, United States, United States
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CC
Chuan-Li Chang
Colleague at Linkedin
Seattle, Washington, United States, United States
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M(
Menglu (Molly) Gao
Colleague at Linkedin
San Francisco Bay Area, United States, United States
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NA
Nikhil Agarwal
Colleague at Linkedin
San Francisco Bay Area, United States, United States
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Quick answers generated from the profile data available on this page.
Arun Swami works for LinkedIn.
Arun Swami is listed as Technical Leadership ♦ Solve Business Problems With Insights from Big Data Derived Using High Performance Algorithms at LinkedIn.
AeroLeads has found 1 work email signal at @linkedin.com for Arun Swami at LinkedIn.
AeroLeads has found 5 phone signal(s) with area code 408, 203, 650 for Arun Swami at LinkedIn.
Arun Swami is based in Cupertino, California, United States while working with LinkedIn.
Arun Swami has worked for Linkedin, Dtex Systems, Caspida, Google, and Adobe Systems.
Arun Swami's colleagues at LinkedIn include Angela Shao, Yafei Wei, Guillaume Orain, Michael Ernst, and Johnm6Mpp0618-110355 Doe.
You can use AeroLeads to view verified contact signals for Arun Swami at LinkedIn, including work email, phone, and LinkedIn data when available.
Arun Swami holds Ph.D., Computer Science from Stanford University.
Arun Swami is listed with skills including Algorithms, Data Mining, Big Data, Machine Learning, Computer Science, Software Engineering, Software Development, and Databases.
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