Nathan Susanj

Role: Applied Science Manager at Amazon
Location: Harrisburg, PA, US
LinkedIn followers: 500 followers

EngineeringView LinkedIn profile

About Nathan Susanj

As an Applied Science Manager on the Artificial General Intelligence (AGI) team at…

Experience

Applied Science Manager
Amazon
Mar 2020 — Present
Manages automatic speech recognition (ASR) research for the Alexa Hybrid Science team at Amazon, focusing on on-device implementations of Alexa capabilities. The team is part of Alexa Speech.

Skills

Hadoop
Oracle
Cms
Data Mining
Statistics
Python
Spss
Public Speaking
Sql
Sas
Cluster Analysis
Customer Segmentation Strategy
Natural Language Processing
Data Analysis
Linear Regression
Project Management
Logistic Regression
Editing
Professional Networking
Microsoft Office
Weka
Campaign Performance Analysis
Analytics
Machine Learning
Digital Marketing
Web Analytics
Mapreduce
Big Data
Database Design
Social Media Marketing
Strategic Communications
Econometrics
Decision Trees
Marketing
Mortgage Marketing
Segmentation
Strategy
Predictive Analytics
Social Media
Web Editing

Contact information

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Current company

Amazon

Software Development · 10K employees · 2127 7th Ave., Seattle, WA, 98109, US

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

amazon.com

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