- π½ 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.
- β¨ Presently, I am a software developer & data scientist working in New York City, with a cumulative experience of 2 years in the Financial Services, Healthcare, and Media & Entertainment industries. My passion lies in continuously learning computer science techniques and utilizing them adeptly to address real-world challenges with intelligence and ingenuity. This pursuit of knowledge and its practical application never fails to inspire me.
- πΊπΈπ¦ Bank of China (NY) | π©π»βπ» Analytics Developer | β²οΈ Develop Access Platforms to Support Bank-Wide Risk Management BAU
- πΊπΈπ¦ Deustche Bank (NY) | π©π»βπ» Data Scientist | π― Engineer Transaction Features & Implement Network Visualization and Analysis
- πΊπΈπ« New York University | π©π»βπ» Teaching Assistant & Grader | π Prepare for and Conduct Lab Sessions & Grade Assignments
- πΊπΈπ Boehringer Ingelheim | π©π»βπ» Data Scientist Intern | πΆ Predict Pharmaceutical Product Sales & Cluster Descriptive Text
- πΊπΈπ» AlphaPoint | π©π»βπ» Software Engineer Intern | π° Autogenerate Financial Reports using ETL & Build Monitoring Dashboard
- π¨π³π¬ Tencent | π©π»βπ» Machine Learning Engineer Intern | β Detect Illegitimate Wechat Groups via Data Mining
- π¨π³ποΈ Winner Technology | π©π»βπ» Machine Learning Engineer Intern | π Predict and Interprect Customer Traffic of Malls
- π©π»βπ» Natural Language Understanding | π€ Probe GPT-3βs Linguistic Knowledge on Semantic Tasks
- π©π»βπ» Deep Learning | π₯ Detect Alzheimerβs Disease with Multi-Modal Fusion of Clinical MRI Scans
- π©π»βπ» Recommender System | π΅ Build Recommender System using Million Song Dataset
- π©π»βπ» Recommender System | π Build Recommender System using Yelp Dataset
- π©π»βπ» Kaggle Competition | π³ 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