Suri (Suyu) Chen

Suri (Suyu) Chen Email and Phone Number

Senior Applied ML scientist @ Faire
New York, United States
Suri (Suyu) Chen's Location
Brooklyn, New York, United States, United States
Suri (Suyu) Chen's Contact Details

Suri (Suyu) Chen work email

Suri (Suyu) Chen personal email

n/a
About Suri (Suyu) Chen

Optimize PepsiCo eCommerce with ML models and data science products by day. Build efficient tools, music EdTech products, and ML models by night

Suri (Suyu) Chen's Current Company Details
Faire

Faire

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Senior Applied ML scientist
New York, United States
Website:
faire.com
Employees:
1469
Company phone:
0800 274 777
Suri (Suyu) Chen Work Experience Details
  • Faire
    Senior Applied Ml Scientist
    Faire
    New York, United States
  • Pepsico
    Principal Data Scientist & Machine Learning
    Pepsico Mar 2023 - Present
    Purchase, New York, Us
  • Pepsico
    Senior Data Scientist & Machine Learning
    Pepsico Mar 2021 - Mar 2023
    Purchase, New York, Us
  • Pepsico
    Data Scientist
    Pepsico Feb 2020 - Mar 2021
    Purchase, New York, Us
  • Pepsico
    Data Science Intern
    Pepsico Jun 2019 - Feb 2020
    Purchase, New York, Us
  • Columbia University In The City Of New York
    Course Assistant
    Columbia University In The City Of New York Sep 2019 - Dec 2019
    New York, Ny, Us
  • Blockcast.It
    Data Analytics Intern
    Blockcast.It Feb 2019 - Apr 2019
    Tw
    • Collected 1 million data of ICO fundraising, supply, social media news, historical price from different websites. Perform data cleaning by Python Pandas, Numpy and Scipy.• Conducted the hypothesis test to analyze features significances, such as team member, white paper and geographical data.• Predicted cryptocurrency project ROI before its release using extreme Gradient Boosting Model (Python XGBoost)
  • Py Capital Llc
    Data Science Intern
    Py Capital Llc Jan 2019 - Feb 2019
    • Created a Machine Learning Model with a high dimensional dataset to predict the gross revenue of up-coming movies for investment. Achieved more than 90% accuracy in both training and test data.• Used Python web scrapping to collect data of more than 30 features from 5 websites. • Designed, validated and tested multiple classification models (Logistic Regression, SVM, Random Forest, Gradient Boosting etc.). Used Lasso and PCA to screen out insignificant indicators.• Built data report for clients including data visualization, interpreted the indicators analysis, predicting results and made the recommendations.
  • Dhl Express
    Analyst Internship
    Dhl Express Jun 2017 - Aug 2017
    Bonn, Nrw, De
    • Maximized profits for DHL service center by optimizing the work flow process. Re-engineered and enhanced the inbound sorting process, decreased sorting time by 48%.• Utilized Python and R to extract, clean and analyze data. Identified key problems and generated interpretable data report for multifunctional team based on recorded and processed data.• Increased quality of customer service by the development of a customer service management dashboard. Enabled center to analyze the customers behavior by data visualization and deliver customized service.
  • Xiamen International Port Co.,Ltd
    Summer Intern
    Xiamen International Port Co.,Ltd Jul 2016 - Aug 2016
    Xiamen, Fuj, Cn
    Worked in different offices under the port operations department, hand on experience in Operations, Berth planning, Yard planning, and Empty Container planning
  • National Chiao Tung University
    Research Assistant
    National Chiao Tung University Mar 2016 - Aug 2016
    Hsinchu, Taiwan, Tw
    Research in the decision of green traffic signals time preventing the Braess' paradox-Worked with Professor Cho () in calculating the green traffic signal time that prevents the Braess' paradox-In real life, a new transportation construction project will often lead to the Braess' paradox, our mission is to minimize the system cost, which is estimated by a formulation related to the time of the green signal, by balancing the user equilibrium and system optimization.-In this Algorithm, multiple sub-projects are involved: DSF method to generate the OD matrix, Label Setting Algorithm to simulate the shortest path routes and Frank-Wolfe algorithm to solve the equilibrium arc flow, and Tobin's model to calculate sensitivity.-Conducted Frank-Wolfe algorithm test by using C++ and Matlab

Suri (Suyu) Chen Education Details

  • Columbia University
    Columbia University
    Operations Research
  • University Of Groningen
    University Of Groningen
    Management
  • National Chiao Tung University
    National Chiao Tung University
    Transportation And Logistics Management

Frequently Asked Questions about Suri (Suyu) Chen

What company does Suri (Suyu) Chen work for?

Suri (Suyu) Chen works for Faire

What is Suri (Suyu) Chen's role at the current company?

Suri (Suyu) Chen's current role is Senior Applied ML scientist.

What is Suri (Suyu) Chen's email address?

Suri (Suyu) Chen's email address is su****@****ico.com

What schools did Suri (Suyu) Chen attend?

Suri (Suyu) Chen attended Columbia University, University Of Groningen, National Chiao Tung University.

Who are Suri (Suyu) Chen's colleagues?

Suri (Suyu) Chen's colleagues are Milos Ilijic, Naudia H., Alisha Mccurdy, Kian O'rourke, Lacey Nakashima, Colin Ainsworth, Kayode Onibaba.

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