Tomas Tvaroh Email & Phone Number
@amazon.com
2 phones found area 206
LinkedIn matched
Who is Tomas Tvaroh? Overview
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Tomas Tvaroh is listed as Principal Data Scientist at Amazon, a company with 500669 employees, based in Seattle, Washington, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 206, and a matched LinkedIn profile for Tomas Tvaroh.
Tomas Tvaroh previously worked as Senior Data Scientist at Amazon and Senior BI Engineer at Amazon. Tomas Tvaroh holds Master'S Degree, Financial Engineering from University Of Economics In Prague, Faculty Of Finance And Accounting.
Email format at Amazon
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AeroLeads found 3 current-domain work email signals for Tomas Tvaroh. Compare company email patterns before reaching out.
About Tomas Tvaroh
I have always been fascinated by advanced analytics and how it can be used to derive non-obvious and actionable insights from data. My background in machine learning, software engineering and management consulting provides me with a unique set of skills to be successful as a full stack data scientist. I love solving complex problems and optimizing processes, ideally if the way towards the solution is unknown at first and there is a need to use both science and engineering to get there.
Listed skills include Machine Learning, Business Analysis, Software Development, Quantitative Finance, and 25 others.
Tomas Tvaroh's current company
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Tomas Tvaroh work experience
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Senior Data Scientist
Senior Bi Engineer
Business Intelligence Engineer
Senior Business Analyst
Business Analyst
Software Developer (Part-Time)
Colleagues at Amazon
Other employees you can reach at amazon.com. View company contacts for 500669 employees →
Jayesh Pokharkar
Colleague at Amazon
Seattle, Washington, United States, United States
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SP
Simona Peiksteina
Colleague at Amazon
Riga, Latvia, Latvia
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SM
Sindhu M Gowda
Colleague at Amazon
Bengaluru, Karnataka, India, India
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EB
Ego Bekee
Colleague at Amazon
Lagos, Lagos State, Nigeria, Nigeria
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CM
Charles M.
Colleague at Amazon
Atherton, California, United States, United States
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AA
Arghiropol Amalia
Colleague at Amazon
Iaşi, Romania, Romania
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MS
Mir Sahil
Colleague at Amazon
Srinagar, Jammu & Kashmir, India, India
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SR
Sevinc Resulova
Colleague at Amazon
Tarsus, İçel, Türkiye, Turkey
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ML
Maher Laith
Colleague at Amazon
Doha, Doha, Qatar, Qatar
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LO
Leonardo Oliveira
Colleague at Amazon
Palhoça, Santa Catarina, Brazil, Brazil
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Tomas Tvaroh education
Master'S Degree, Financial Engineering
Master'S Degree, Machine Learning
International Student Exchange, Quantitative Finance
International Student Exchange, Computer Science
Bachelor'S Degree, Software Engineering
Bachelor'S Degree, Computer Science
Frequently asked questions about Tomas Tvaroh
Quick answers generated from the profile data available on this page.
What company does Tomas Tvaroh work for?
Tomas Tvaroh works for Amazon.
What is Tomas Tvaroh's role at Amazon?
Tomas Tvaroh is listed as Principal Data Scientist at Amazon.
What is Tomas Tvaroh's email address?
AeroLeads has found 3 work email signals at @amazon.com for Tomas Tvaroh at Amazon.
What is Tomas Tvaroh's phone number?
AeroLeads has found 2 phone signal(s) with area code 206 for Tomas Tvaroh at Amazon.
Where is Tomas Tvaroh based?
Tomas Tvaroh is based in Seattle, Washington, United States while working with Amazon.
What companies has Tomas Tvaroh worked for?
Tomas Tvaroh has worked for Amazon, Ppf Group, Mckinsey & Company, and Market Vision S.R.O..
Who are Tomas Tvaroh's colleagues at Amazon?
Tomas Tvaroh's colleagues at Amazon include Jayesh Pokharkar, Simona Peiksteina, Sindhu M Gowda, Ego Bekee, and Charles M..
How can I contact Tomas Tvaroh?
You can use AeroLeads to view verified contact signals for Tomas Tvaroh at Amazon, including work email, phone, and LinkedIn data when available.
What schools did Tomas Tvaroh attend?
Tomas Tvaroh holds Master'S Degree, Financial Engineering from University Of Economics In Prague, Faculty Of Finance And Accounting.
What skills is Tomas Tvaroh known for?
Tomas Tvaroh is listed with skills including Machine Learning, Business Analysis, Software Development, Quantitative Finance, Statistical Software, Sql, Data Mining, and Operations Research.
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