Jui-Jia Chen Email & Phone Number

Remote

- Worked on a joint project between Columbia University & Muck Rack for press-release detection- Generated features for 350,000+ press-release data samples via token lemmatization on article plain text, employing sentiment and TF-IDF analyses- Achieved 97% accuracy after training and evaluating Logistic Regression, Decision Tree, and XGBoost machine learning models- Applied text embeddings via Sentence Transformer and K-means clustering for article plain text, reducing runtime by 60%

New York, New York, United States

- Collaborated with Tada AI & Columbia University under the supervision of professor - Deployed a RAG system with Tada AI on 200+ financial PDFs, transforming text into structured JSON through content chunking- Leveraged GPT-4 LLM model for generating quotes from a SciSpace Copilot-formatted prompt-responsive database- Optimized semantic search to return the top 10 relevant quotes per query via TF-IDF vectorization with cosine similarity verification

Remote

- Partnered on a collaborative project between Columbia University and DG Venture Law, focusing on optimizing the BERT machine learning model for drafting and categorizing clauses in non-disclosure agreements (NDA)

- Processed ad data across five regions using Excel's INDIRECT, MATCH, and LOOKUP functions to extract hit rate metrics and clean missing values for ML models training- Organized performance reports twice a day on impression and number of click ads rate collected from Facebook ad data to monitor CTA(call to action) effectiveness- Created 150 ad campaigns and optimized HTML code for ad images as needed

- Managed MongoDB as NoSQL database and saved 1500 NFT images on the Atlas cloud database- Wrote 2 APIs: One to connect database with frontend; the other to randomly post 5 images to frontend

Master Of Science - Ms, Operations Research

Relevant Courses: Machine Learning in Financial Engineering & Operations Research, Stochastic Models, Business Analytics, Optimization.

Bachelor'S Degree, Economics

Relevant Courses: Programming Design, Data Structures and Advanced Program Design, Algorithms, Operating Systems, Operations Research.