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Engineering/Statistics/Data Science Python/C++ https://jiajingchen.github.io
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recommendation_engine
October 20, 2019 – October 20, 2019
recommendation_engine — GitHub repository
View ProjectDeep-Learning-Project-Facial-Expression-Classification
April 12, 2018 – May 19, 2018
This is the final project for BST261 Data Science II, I implement RNN and CNN for Facial Expression Classification, Data from Kaggle Competition: fer2013.(https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data)
View ProjectIntro-To-Algorithm-Project
April 8, 2018 – April 28, 2018
BST234 Intro To Algorithm Final Project
View Projectold.jiajingchen.github.io
December 12, 2017 – July 4, 2018
old.jiajingchen.github.io — GitHub repository
View Projectbst260final-project-house-price
November 21, 2017 – December 10, 2017
The website of BST260 final project- House Price Prediction
View Projectcs109a
September 4, 2017 – September 4, 2017
The introduction to data science (CS109a) at Harvard University 2017 fall semester.
View ProjectUbi-prediction-SVM-project1
March 4, 2016 – October 24, 2019
This project is application of machine learning in computational biology. I did most of the coding and building the front-end predictor server
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards academic and personal data science challenges, which aligns with a learning-oriented culture. However, the lack of professional experience or collaborative projects makes it difficult to assess broader cultural fit, such as teamwork or adaptability in a corporate environment. The projects are diverse in topic, indicating curiosity.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists personal projects without team context or professional experience.