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Jasmine Ng Email & Phone Number
Senior Machine Learning Engineer
at
Disney Streaming
1 work email found
@guardianlife.com
LinkedIn matched
✓ Verified August 2026
4 data sources
Profile completeness 100%
Current company
Role
Senior Machine Learning Engineer
Location
United States
Company size
Who is Jasmine Ng? Overview
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Quick answer
Jasmine Ng is listed as Senior Machine Learning Engineer at Disney Streaming, a with 2635 employees, based in United States. AeroLeads shows a work email signal at guardianlife.com and a matched LinkedIn profile for Jasmine Ng.
Jasmine Ng previously worked as Machine Learning Engineer at Disney Streaming and Data Scientist III at Guardian Life. Jasmine Ng holds Master Of Engineering - Meng, Operations Research And Information Engineering from Cornell University.
Company email context
Email format at Disney Streaming
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{first}{last}@guardianlife.com
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AeroLeads found 1 current-domain work email signal for Jasmine Ng. Compare company email patterns before reaching out.
Profile bio
About Jasmine Ng
My passion in data science lies within the ability to understand people and their interactions with products. I look forward to future experiences that will align with my software skillsets (Python, R, and SQL), and my knowledge of operations research methods and statistics in the context of consumer experience business applications. Visit my website https://jasminecng9999.github.io to view my work in more detail or contact me via email at jcn66@cornell.edu.
Listed skills include Social Media, Python, Java, R, and 11 others.
Current workplace
Jasmine Ng's current company
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Disney Streaming
13 roles
Jasmine Ng work experience
A career timeline built from the work history available for this profile.
Machine Learning Engineer
Current
Apr 2024 - Present
Data Scientist Iii
• Developed and deployed predictive risk models for underwriting• Built a clustering model for enterprise-wide customer segmentation, guiding premium servicing for high lifetime value customers • Delivered analytical solutions for digital marketing problems such as online user behavior analysis, click attribution models, campaign performance automation, lead generation models• Constructed a bias testing framework for ensuring regulatory compliance across all AI applications in the company
Jan 2024 - Apr 2024
Data Scientist Ii
Jan 2022 - Jan 2024
Graduate Teaching Assistant For Engineering Probability And Statistics
• Hosted weekly instruction and guidance sessions to tutor and mentor students in R, and fundamental probability and statistics concepts
Aug 2021 - Dec 2021
Data Science Intern
• Built a natural language processing toolkit with sentiment scoring and topic modelling for product and consumer insights• Utilized the built NLP based model to digest thousands of product reviews into a report recommending consumer alignment strategies• Advised the social media marketing team by text mining and identifying content drivers for consumer engagement• Implemented a pipeline to improve sales prediction by applying various feature selection, clustering, and forecasting models
Jun 2021 - Aug 2021
Student Data Scientist
• Performed clustering algorithms, network analysis, and data pattern mining to define the customer's propensity to purchase, the optimal landing page type, and the most interested subclass products• Increased conversion rate by 37% by modeling the optimal landing page type and content for various customer segments• Conducted data wrangling to ensure sensible consumer behaviors in the clickstream data using Google BigQuery & Python
Nov 2020 - May 2021
Teaching Assistant For Intermediate Web Design And Programming
• Hosted weekly instruction and guidance sessions to tutor and mentor students in PHP, MySQL, JavaScript• Led lab section of 30+ students by facilitating classroom discussions and grading projects
Aug 2019 - Dec 2020
Data Science Intern
• Developed a product recommendation engine in Neo4j and Python for a retail client using e-commerce data• Implemented customer journey mapping to reduce merchandising funnel chokepoints and projected a 20% revenue lift• Led training sessions to spearhead the team's adoption of Neo4j machine learning practices and graph databases
Jun 2020 - Aug 2020
Product Manager
• Coordinated between 3 teams to ensure punctual delivery of user-friendly apps used by over 3,000 students and employers•Conducted user surveys to garner feedback in efforts to improve the team's iOS and Android Apps, and website• Developed the team’s website from scratch using SQL, PHP, HTML, and CSS
May 2019 - May 2020
Logistics Sub-Team Director
• Planned and executed the Spring Career Fair, which attracts over 140 companies and 3,000 students per year• Determined a diverse set of companies reach out to and network with company recruiters primarily through LinkedIn• Cultivated a 30,000 USD annual profit margin and manage its investment back into the engineering community• Worked closely with the administrative staff at different departments at Cornell to assist with the daily operations of the team
May 2018 - May 2019
Publicity Sub-Team Member
• Designed quarter cards, Facebook cover photos, and banners using Adobe Photoshop• Branded the team's logo• Managed the team's social media
Oct 2017 - May 2018
Software Engineer Intern
• Analyzed and organized AB tests to maximize website KPIs such as click-through rate to ensure optimal user experience• Developed the company website from scratch after several iterations with feedback from the CEO and other key stakeholders• Debugged, tested, and documented dozens of bugs of the data analysis application• Code reviewed 30 files written to develop the online learning platform to ensure maintainability and readability
May 2019 - Sep 2019
3 education records
Jasmine Ng education
Master Of Engineering - Meng, Operations Research And Information Engineering
Bachelor Of Science - Bs, Operations Research
High School Diploma
Queens High School For The Sciences
FAQ
Frequently asked questions about Jasmine Ng
Quick answers generated from the profile data available on this page.
What company does Jasmine Ng work for?
Jasmine Ng works for Disney Streaming.
What is Jasmine Ng's role at Disney Streaming?
Jasmine Ng is listed as Senior Machine Learning Engineer at Disney Streaming.
What is Jasmine Ng's email address?
AeroLeads has found 1 work email signal at @guardianlife.com for Jasmine Ng at Disney Streaming.
Where is Jasmine Ng based?
Jasmine Ng is based in United States while working with Disney Streaming.
What companies has Jasmine Ng worked for?
Jasmine Ng has worked for Disney Streaming, Guardian Life, Cornell University, Nestlé, and The Home Depot.
How can I contact Jasmine Ng?
You can use AeroLeads to view verified contact signals for Jasmine Ng at Disney Streaming, including work email, phone, and LinkedIn data when available.
What schools did Jasmine Ng attend?
Jasmine Ng holds Master Of Engineering - Meng, Operations Research And Information Engineering from Cornell University.
What skills is Jasmine Ng known for?
Jasmine Ng is listed with skills including Social Media, Python, Java, R, Optimization, Javascript, Php, and Cascading Style Sheets.
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