Ashlyn Im
Business Intelligence Engineer at Amazon | Seattle, Washington, United States
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Ashlyn Im is a Business Intelligence Engineer at Amazon, where she leverages her extensive programming and analytical skills to transform complex data into actionable business insights. With a strong foundation in Python, Java, and SQL, Ashlyn excels in developing robust data pipelines and implementing advanced statistical analyses using tools like Stata and SPSS. Her expertise in Agile methodologies and design thinking allows her to collaborate effectively within cross-functional teams, ensuring that projects align with both technical and business objectives.
Currently, Ashlyn is focused on key projects within the Prime Video division, where she plays a pivotal role in enhancing user experience through data-driven decision-making. By utilizing A/B testing and machine learning techniques, she helps optimize content recommendations and user engagement strategies. Her proficiency in big data technologies such as Hadoop and MapReduce enables her to handle vast datasets efficiently, while her skills in data visualization tools like Tableau and Google Data Studio allow her to present insights in a clear and compelling manner.
In addition to her technical acumen, Ashlyn is passionate about exploring the potential of natural language processing (NLP) and deep learning to further enhance Amazon's offerings. Her leadership abilities and commitment to research empower her to drive innovation within her team, fostering a culture of continuous improvement. As she continues to push the boundaries of data analytics, Ashlyn remains dedicated to turning lines of code into meaningful business strategies that contribute to Amazon's mission of delivering exceptional customer experiences.
Business Intelligence Engineer at Amazon in August 2023 to Present
Data Analyst Intern at Carnegie Mellon University in February 2023 to July 2023
Graduate Teaching Assistant at Carnegie Mellon University - Heinz College of Information Systems and Public Policy in October 2021 to March 2023
Engineering Intern at Twitter in May 2022 to August 2022
Research Analyst at HKUST Business School in September 2020 to September 2021
Bloomberg Campus Ambassador at Bloomberg LP in September 2019 to June 2020
Global Data Summer Analyst at Bloomberg LP in June 2019 to August 2019
Summer E-banking Analyst at Bank of China (Hong Kong) in June 2018 to August 2018
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Carnegie Mellon University - Heinz College of Information Systems and Public Policy, November 2026
The Hong Kong University of Science and Technology, Bachelor's degree, November 2026
University of St.Gallen, Bachelor of Business Administration - BBA, November 2026
Texas McCombs School of Business, Academic Exchange, November 2026
Heep Yunn School, November 2026
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Mobile Application Development
Usability Testing
UX Research
Financial Analysis
Equity Research
Visual Basic for Applications (VBA)
Research Development
Big Data
A/B Testing
Google BigQuery
SQL
Google Data Studio
Pandas (Software)
Scikit-Learn
Econometrics
Java
Machine Learning
Natural Language Processing (NLP)
Deep Learning
Microsoft Excel
XML
Project Management
Tableau
Leadership
Data Analysis
Python
Research
Microsoft Office
Adobe Photoshop
Microsoft Azure Machine Learning
Stata
Customer Service
Team Building
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Discover more about AmazonWhat is Ashlyn Im email address?
Email Ashlyn Im at [email protected], [email protected] and [email protected]. This email is the most updated Ashlyn Im's email found in 2026.
What is Ashlyn Im phone number?
Ashlyn Im phone number is +14126522259.
How to contact Ashlyn Im?
To contact Ashlyn Im send an email to [email protected], [email protected] or [email protected]. If you want to call Ashlyn Im try calling on +14126522259. (updated on August 24, 2024)
What company does Ashlyn Im work for?
Ashlyn Im works for Amazon
What is Ashlyn Im's role at Amazon?
Ashlyn Im is Business Intelligence Engineer
What industry does Ashlyn Im work in?
Ashlyn Im works in the Information Technology & Services industry.
Ashlyn Im Email Addresses
Ashlyn Im Phone Numbers
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