Daniel Osburn Email & Phone Number
@google.com
1 phone found area 650
LinkedIn matched
Who is Daniel Osburn? Overview
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Daniel Osburn is listed as Product Analyst, Google Photos at Google, a with 219238 employees, based in South Lake Tahoe, California, United States. AeroLeads shows a work email signal at google.com, phone signal with area code 650, and a matched LinkedIn profile for Daniel Osburn.
Daniel Osburn previously worked as Quantitative Business Analyst, YouTube Strategy at Google and Business Analyst, Global Scaled Services at Google. Daniel Osburn holds Master Of Science (M.S.), Predictive Analytics from Northwestern University.
Email format at Google
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AeroLeads found 1 current-domain work email signal for Daniel Osburn. Compare company email patterns before reaching out.
About Daniel Osburn
Daniel Osburn is a Product Analyst, Google Photos at Google. He possess expertise in r, spss, survival analysis, classification, predictive modeling and 15 more skills. He is proficient in German. Colleagues describe him as "I worked with Dan as a colleague and as his manager. Coming out of university back in 2011, he quickly learned the fundamentals of our home equity business and became a core analyst in the pricing and valuations space. As he rotated to the marketing space, he led efforts to fulfill our CRA commitments through partnership with stakeholders across marketing, compliance, IT, etc. and leveraged white space problem solving skills to develop unique solutions. Dan has become an extremely efficient problem solver who is able to tackle a variety of business problems."
Listed skills include R, Spss, Survival Analysis, Classification, and 16 others.
Daniel Osburn's current company
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Daniel Osburn work experience
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Quantitative Business Analyst, Youtube Strategy
Business Analyst, Global Scaled Services
Senior Business Analyst
Business Analyst
Colleagues at Google
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Yeung Pang
Colleague at GoogleKowloon City District, Hong Kong Sar, Hong Kong
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RH
Rick Hironimus
Colleague at GoogleSan Francisco Bay Area, United States
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YH
Yuhesti Hesti
Colleague at GoogleJakarta, Indonesia
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TH
Tribe Hope
Colleague at GoogleLisboa, Lisbon, Portugal
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AK
Areeba Khan
Colleague at GoogleLucknow, Uttar Pradesh, India
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SH
Shijie Hu
Colleague at GoogleSan Francisco Bay Area, United States
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VV
Vainavi Viswanath
Colleague at GoogleSan Francisco Bay Area, United States
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SR
Sandra Rodríguez
Colleague at GoogleBogota, D.C., Capital District, Colombia
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JB
John Bradshaw
Colleague at GoogleNorth Sydney, New South Wales, Australia
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DJ
Dylsn Jacobs
Colleague at GoogleLos Angeles County, California, United States
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Daniel Osburn education
Master Of Science (M.S.), Predictive Analytics
Bachelor Of Science (B.S.), Biochemistry
Education record
Frequently asked questions about Daniel Osburn
Quick answers generated from the profile data available on this page.
What company does Daniel Osburn work for?
Daniel Osburn works for Google.
What is Daniel Osburn's role at Google?
Daniel Osburn is listed as Product Analyst, Google Photos at Google.
What is Daniel Osburn's email address?
AeroLeads has found 1 work email signal at @google.com for Daniel Osburn at Google.
What is Daniel Osburn's phone number?
AeroLeads has found 1 phone signal(s) with area code 650 for Daniel Osburn at Google.
Where is Daniel Osburn based?
Daniel Osburn is based in South Lake Tahoe, California, United States while working with Google.
What companies has Daniel Osburn worked for?
Daniel Osburn has worked for Google and Capital One.
Who are Daniel Osburn's colleagues at Google?
Daniel Osburn's colleagues at Google include Yeung Pang, Rick Hironimus, Yuhesti Hesti, Tribe Hope, and Areeba Khan.
How can I contact Daniel Osburn?
You can use AeroLeads to view verified contact signals for Daniel Osburn at Google, including work email, phone, and LinkedIn data when available.
What schools did Daniel Osburn attend?
Daniel Osburn holds Master Of Science (M.S.), Predictive Analytics from Northwestern University.
What skills is Daniel Osburn known for?
Daniel Osburn is listed with skills including R, Spss, Survival Analysis, Classification, Predictive Modeling, Marketing Analytics, Predictive Analytics, and Microsoft Sql Server.
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