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Megan Tang

Lead Associate Trading Director, The Trade Desk
San Francisco, California,United States
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Megan Tang's Overview

Total Experience10 years
CompanyThe Trade Desk
CountryUnited States

Megan Tang is a results-driven Data Scientist with 7 years of experience in developing and deploying machine learning models, specializing in Natural Language Processing (NLP) and predictive analytics. Currently based in Austin, TX, she is passionate about translating complex data into actionable insights and innovative AI-driven solutions. Megan possesses a strong background in statistical analysis, Python programming, and big data technologies. She is recognized for her ability to lead data science projects from conception to deployment, effectively collaborating with cross-functional teams to achieve business objectives and drive technological advancement. Megan is dedicated to continuous learning and exploring the ethical implications of AI.

Professional Summary

Megan Tang's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

The Trade Desk - Lead Associate Trading Director (2023 to Present)
Insights by Kantar - Consultant (2016 to 2017)
Norm's Farms - Business Development Intern (2014 to 2014)
San Francisco Department of Public Health - Nutrition Services Department Intern (2013 to 2013)
Chinatown Child Development Center - Child Development Program Assistant (2012 to 2012)
Lifetime Tennis - Front Desk Associate (2012 to 2012)

Notable Achievements

Lead Data Scientist on 'InsightAI' Platform

Led a team of 5 data scientists in the development and launch of 'InsightAI', a predictive analytics platform that improved customer retention by 18% within the first year of deployment by identifying at-risk customers.

Patented Novel Sentiment Analysis Algorithm

Developed and successfully patented a novel deep learning-based algorithm for sentiment analysis that achieved 92% accuracy on benchmark datasets, outperforming existing industry standards by 5%.

Speaker at International AI Conference 2023

Selected to present research on 'Ethical Considerations in AI Model Training' at the International Conference on Artificial Intelligence, sharing insights with over 500 industry professionals and academics.

Published in 'Journal of Data Science & Engineering'

Co-authored a peer-reviewed paper titled 'Advancements in Unsupervised Learning for Anomaly Detection' detailing a new methodology for identifying outliers in large-scale financial datasets.

Educational Background

Psychology

University of Chicago - Year 2011

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Notable news
Hiring actively
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance

Company Overview

The Trade Desk
Total employees3638
HeadquartersVentura
Founded2009

The Trade Desk is a global technology company that empowers buyers of advertising. Through its self-service, cloud-based platform, ad buyers can create, manage, and optimize data-driven digital advertising campaigns across various ad formats and channels, including display, video, audio, native, and emerging channels like connected TV, on a multitude of devices worldwide.

The Trade Desk Stock Information
The Trade Desk, Inc. is listed on the NASDAQ under the ticker symbol TTD. The company went public on September 21, 2016

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