- 🗽 I graduated from NYU Center for Data Science on 2022 May, where I took advanced DS courses including Probabilities and Statistics, Machine Learning, Big Data, Capstone, Deep Learning, Natural Language Processing, Natural Language Understanding, Linear Algebra, Advanced Python, and Responsible Data Science.
- ✨ Currently, I am a Quantitative Researcher based in New York City, with 2 years of experience in the Financial industry. My passion lies in applying advanced data science and quantitative techniques to solve complex financial challenges. I continuously seek to enhance my skills in financial modeling, statistics, and machine learning, always striving to combine theory with real-world application to drive insightful, data-driven decisions.
- 🇺🇸🏦 ExodusPoint (NY) | 👩🏻💻 Quantitative Researcher | 📈 Forecast Financial Statement KPIs using CE Transaction data
- 🇺🇸🏦 Bank of China (NY) | 👩🏻💻 Analytics Developer | ⛲️ Develop Access Platforms to Support Bank-Wide Risk Management BAU
- 🇺🇸🏦 Deustche Bank (NY) | 👩🏻💻 Data Scientist | 🎯 Engineer Transaction Features & Implement Network Analysis
- 🇺🇸🏫 New York University | 👩🏻💻 Teaching Assistant & Grader | 💜 Prepare for and Conduct Lab Sessions & Grade Assignments
- 🇺🇸💊 Boehringer Ingelheim | 👩🏻💻 Data Scientist Intern | 🐶 Predict Pharmaceutical Product Sales & Cluster Descriptive Text
- 🇺🇸💻 AlphaPoint | 👩🏻💻 Software Engineer Intern | 💰 Autogenerate Financial Reports using ETL & Build Monitoring Dashboard
- 🇨🇳💬 Tencent | 👩🏻💻 Machine Learning Engineer Intern | ❌ Detect Illegitimate Wechat Groups via Data Mining
- 🇨🇳🛍️ Winner Technology | 👩🏻💻 Machine Learning Engineer Intern | 🎄 Predict and Interprect Customer Traffic of Malls
- 👩🏻💻 Natural Language Understanding | 🤔 Probe GPT-3’s Linguistic Knowledge on Semantic Tasks
- 👩🏻💻 Deep Learning | 🏥 Detect Alzheimer’s Disease with Multi-Modal Fusion of Clinical MRI Scans
- 👩🏻💻 Recommender System | 🎵 Build Recommender System using Million Song Dataset
- 👩🏻💻 Recommender System | 🍜 Build Recommender System using Yelp Dataset
- 👩🏻💻 Kaggle Competition | 💳 Detect Fraud in Credit Transaction
- Big Data: SQL, PySpark, Dask, Apache Hadoop
- Web Scrapping: BeautifulSoup, Requests, HTML
- Exploratory Data Analysis: Data Processing, Statistical Graphics
- Probability and Statistics: Random Variables, Statistical Models, Hypothesis Testing, Bayesian Methods
- Data Visualization: Matplotlib, Seaborn, Plotly, Tableau, Power BI, AWS Quicksight
- Machine Learning Modeling: Regression, Classification, Clustering
- Natural Language Processing: RNN, LSTM, GRU, Transformer, BERT, GPT, Keywords Extraction, Topic Modeling, Semantic Analysis
- Deep Learning Modeling: Deep Neural Network, CNN, GANs, Auto-Encoders
- Network Analysis: Networkx, Pyvis, Gravis
- Cloud Computing: AWS, Docker
- Python (Numpy, Pandas, Sklearn, Seaborn, PyTorch), R, Javascript, Matlab, SQL, HTML, Bash
