Hi! I'm Rejoice Hu, a recent Master's graduate in Information Science with a focus on Machine Learning from Cornell University.
My experience spans ML/Data Science/GenAI roles through working, internship, and research positions at Morgan Stanley, Ecolab, Credibly, and more.
I'm eager to find a full-time role where I can leverage my skills to tackle real-world challenges and deliver meaningful value to users. I am passionate about driving innovation and continuously seeking opportunities to apply my expertise in impactful ways.
Let's connect and explore how I can contribute to your team!
ResumePython
Javascript
SQL
Java
C#
Jupyter Notebook
Docker
AWS
Git
Agile
Statistical Modeling
Deep Learning
Regression
Clustering
Regularization
Pandas
NumPy
Scikit-Learn
SciPy
Matplotlib
PyTorch
TensorFlow
Morgan Stanley
Ecolab
Credibly
Merck
Weill Cornell Medical Center
Cornell University
Relevant Coursework: Data Science, Machine Learning, Deep Learning, Reinforcement Learning
Cornell University
Awards: Summa Cum Laude, Dean’s List, Grace Hopper Scholarship Recipient 2021 & 2022
Implemented transfer learning & Aspect-Based Sentiment Analysis with 3 advanced LLM models (DistilBERT, DeBERTa, PyABSA) in Python to provide precise insights beyond standard Yelp ratings
Developed & optimized RL system with DQN & KNN, SVM, Random Forest, LSTMs, & designed state/action/reward
Researched and tested whether stochastic Policy Gradient algorithms like PPO can outperform DQN in game 2048
Created online shopping catalog/ Etsy website for crocheted products with CRUD actions in PHP, JavaScript, HTML / CSS, SQLite
Published in Radiology AI with 17 citations
Women in Computing at Cornell (WICC)
Cornell University
Cornell University - INFO 2950 Intro to Data Science
Headstarter AI
Rewriting the Code (RTC)