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Applied Scientist - Amazon
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Amazon
Data Scientist
June 25, 2026 – Present
Curbside-pickup-dropoff-locations
April 20, 2019 – June 7, 2019
python experiments for curbside pickup drop-off locations model
View ProjectGraphCNN_parking
February 2, 2019 – April 21, 2019
GraphCNN + LSTM for city-level parking prediction
View ProjectCar-Truck-Simulation
June 27, 2018 – May 19, 2019
A python wrapper of car-truck simulation for traffic impact analysis and traffic management
View ProjectMultimodal-DUE
June 8, 2018 – June 18, 2018
A general formulation for multi-modal dynamic traffic assignment considering multi-class vehicles, public transit and parking
View Projectdeeprl_for_atari_games
March 21, 2017 – March 30, 2017
deep reinforcement learning package for playing Atari games in OpenAI gym environments
View ProjectMAC-POSTS
February 27, 2016 – September 16, 2019
Mobility Data Analytics Center - Prediction, Optimization, and Simulation toolkit for Transportation Systems
View Projecttraffic_project
February 13, 2015 – February 13, 2015
power of 32 regional traveler information system
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic/personal and heavily focused on specific research areas within transportation and reinforcement learning. While demonstrating strong technical capabilities, the diversity of projects outside these niches is limited. The single listed professional experience at Amazon as a Data Scientist is current, but no details are provided to assess alignment with a new organizational culture or broader industry applications.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The candidate's project descriptions suggest a focus on complex problem-solving and technical execution.