Weijia Chen

Data Scientist

https://talent.gravityer.com/weijia-chen

Machine Learning. Data Science. Quantitative Finance.

New YorkMember since June 19, 2026

Key Strengths

Demonstrated interest in Machine Learning and Reinforcement Learning through multiple personal projects (deeprm_conv, deeprm2, DQN-for-Pacman-contest).
Experience with Python, a core language for Data Science.
Exposure to Jupyter Notebooks, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a diverse interest in various technologies beyond core data science, including web development (Astro, JavaScript, TypeScript, HTML, CSS), mobile development (Swift), and blockchain (Solidity). This indicates a broad curiosity and willingness to explore different domains, which could be a positive for cultural fit in a dynamic environment. However, the lack of professional experience or team-based projects makes it difficult to fully assess collaboration and alignment with a specific company culture.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

WhereToEat

March 31, 2026 – Present

iOS and backend code for WhereToEat, an app that finds and books restaurant for you

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weijia-website

February 22, 2026 – Present

weijia-website — GitHub repository

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wagyu-nosiki-website

August 11, 2025 – August 11, 2025

Website for restaurant wagyu nosiki

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NetTCR_pytorch

May 1, 2024 – June 21, 2024

pytorch directory for NetTCR-2.2

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XCS234-A3

April 29, 2022 – April 29, 2022

XCS234-A3 — GitHub repository

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epic-nfts

February 13, 2022 – February 23, 2022

Buildspace project for minting NFT

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PacmanContest

June 28, 2017 – July 1, 2017

PacmanContest — GitHub repository

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deeprm2

June 11, 2017 – June 12, 2017

DeepRM for multiple processing machines

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deeprm_conv

June 11, 2017 – June 11, 2017

Based on Hongzi Mao's works of deeprm: https://github.com/hongzimao/deeprm

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DQN-for-Pacman-contest

June 4, 2017 – August 9, 2021

DQN agent for pacman contest(ai.berkeley.edu/contest)

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Key Strengths

Demonstrated interest in Machine Learning and Reinforcement Learning through multiple personal projects (deeprm_conv, deeprm2, DQN-for-Pacman-contest).
Experience with Python, a core language for Data Science.
Exposure to Jupyter Notebooks, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Weijia Chen

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit