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David Dong Email & Phone Number

Senior Data Scientist at Amazon
Location: New York City Metropolitan Area, United States, United States 7 work roles 2 schools
1 work email found @amazon.com 1 phone found area 908 LinkedIn matched
4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email d****@amazon.com
Direct phone (908) ***-****
LinkedIn Profile matched
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Current company
Role
Senior Data Scientist
Location
New York City Metropolitan Area, United States, United States
Company size

Who is David Dong? Overview

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Quick answer

David Dong is listed as Senior Data Scientist at Amazon, a company with 734811 employees, based in New York City Metropolitan Area, United States, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 908, and a matched LinkedIn profile for David Dong.

David Dong previously worked as Senior Data Scientist at Amazon Web Services (Aws) and Data Scientist at Amazon Web Services (Aws). David Dong holds Master Of Engineering (Meng), Biomedical Engineering from Rutgers University.

Company email context

Email format at Amazon

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{first_initial}{last}@amazon.com
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AeroLeads found 1 current-domain work email signal for David Dong. Compare company email patterns before reaching out.

Profile bio

About David Dong

David Dong is a Senior Data Scientist at Amazon. He possess expertise in r, bioinformatics, matlab, machine learning, biostatistics and 5 more skills.

Listed skills include R, Bioinformatics, Matlab, Machine Learning, and 6 others.

Current workplace

David Dong's current company

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Amazon
Amazon
Senior Data Scientist
New York, NY, US
Website
Employees
734811
AeroLeads page
7 roles

David Dong work experience

A career timeline built from the work history available for this profile.

Senior Data Scientist

New York, NY, US

Data Scientist

Seattle, WA, US

Help customers build machine learning solutions on AWS.

Oct 2020 - Dec 2023

Senior Consultant - Data Science And Ai

Ey

London, GB

Help clients design and execute machine learning capabilities in analytics projects- Predict hospital capacity during a pandemic- Forecasting and market insights for new pharmaceutical product launches- Recommender systems for business dashboards based on NLP - Data quality tracking and improvement strategy for enterprise reporting- Tools to automate the.

Jul 2018 - Oct 2020

Senior Specialist, Informatics & Analytics

Rahway, New Jersey, US

  • As a data scientist in Global IT, researched methodologies to support drug development and developed internal assets to help create a data-driven culture across the enterprise, collaborating with business units such as.
  • Researched and developed statistical methods to predict and simulate the outcome of vaccine clinical trials, provided assessment of risks, and provided support for early stage clinical trial design
  • Designed and implemented a model to predict bidding price changes in the Chinese market for internal and external products to better plan and forecast sales
  • Developed a predictive model for treatment adherence using electronic health records and insurance claims data that improved the forecast of treatment patterns
  • Led efforts in building simulation models for HR and manufacturing as a resource planning tool
  • Developed an internal R package to automate: data pipelines, anomaly detection, and report generation for clinical studies using high quality standardized tables and figures
Sep 2014 - Jul 2018

Product Engineer

Forchheim, DE

  • Performed statistical analysis to support the methods validation procedures for new medical diagnostic instruments
  • Helped developed tools to parse system logs from medical instruments to facilitate testing & troubleshooting
Mar 2014 - Sep 2014

Phd Candidate

New Brunswick, NJ, US

  • Data-mined in-silico and in-vitro microRNA data to predict targets of high likelihood and prioritize gene candidates to modulate in natural killer cells, to be used as an immune-modulatory cell therapy.
  • Applied a support vector machine algorithm to predict whether certain chemicals from cosmetic products will cause skin allergies, based on experimental measurements of cytokine profiles from the skin cells when exposed.
  • Developed a segmentation algorithm and a Matlab GUI to analyze images from liver histology and cultured hepatocytes to determine the amount of fat content.
  • Developed an agent-based model of leukocytes to simulate the onset and progression of the inflammatory response.
Apr 2009 - Oct 2013
Team & coworkers

Colleagues at Amazon

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2 education records

David Dong education

Master Of Engineering (Meng), Biomedical Engineering

Rutgers University

Bs, Biomedical Engineering

Rutgers University
FAQ

Frequently asked questions about David Dong

Quick answers generated from the profile data available on this page.

What company does David Dong work for?

David Dong works for Amazon.

What is David Dong's role at Amazon?

David Dong is listed as Senior Data Scientist at Amazon.

What is David Dong's email address?

AeroLeads has found 1 work email signal at @amazon.com for David Dong at Amazon.

What is David Dong's phone number?

AeroLeads has found 1 phone signal(s) with area code 908 for David Dong at Amazon.

Where is David Dong based?

David Dong is based in New York City Metropolitan Area, United States, United States while working with Amazon.

What companies has David Dong worked for?

David Dong has worked for Amazon, Amazon Web Services (Aws), Ey, Merck, and Siemens Healthcare Diagnostics.

Who are David Dong's colleagues at Amazon?

David Dong's colleagues at Amazon include Mr Navneet Mehla, Ryan Laboube, Ahlam Rizkallah, Thinh Pham, and "♯𓆪فٰۛـۦـلٱטּٰۛ العنـزي𓆩.

How can I contact David Dong?

You can use AeroLeads to view verified contact signals for David Dong at Amazon, including work email, phone, and LinkedIn data when available.

What schools did David Dong attend?

David Dong holds Master Of Engineering (Meng), Biomedical Engineering from Rutgers University.

What skills is David Dong known for?

David Dong is listed with skills including R, Bioinformatics, Matlab, Machine Learning, Biostatistics, Cell Culture, Biomedical Engineering, and Perl.

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