Nora DI CHEN
Summary
Experienced professional in data science and predictive modeling. Bring critical thinking, problem-solving, communication, and teamwork skills to excel in collaborative environments. Adept at optimizing productivity, and aspire to empower decisions with the best data-driven insights.
Overview
11
11
years of professional experience
Work History
Sr. Data Scientist
Bloomberg
New York
03.2022 - Current
- Responsible for developing and optimizing the team’s data science workflow, including extracting, cleaning, and transforming structured and unstructured data, conducting exploratory data analysis to gather key insights and build interactive visualizations, and collaborating with product managers and engineers to build ETL pipelines and data management procedures. Familiar with the Bloomberg Terminal.
- Familiar with the complete machine learning workflow. Trained models (e.g., DistilBERT and random forest) for classifying free-text questionnaires into categorical responses. Specialize in statistical and ML methods in time series analysis and prediction.
- Researched and built models for equity portfolios' sustainable investment performance. Led a team of six and managed technical consultative projects that engaged stakeholders and communicated technical content to stakeholders with different backgrounds.
Postdoctoral Scholar
University of California, Los Angeles
09.2019 - 03.2022
- Developed tools and techniques for modeling extreme rainfall. Applied statistical/ML models including RNN, PCA, and cross-correlation.
- Developed a Python analysis pipeline that utilizes parallel computing to streamline the process of retrieving 5TB+ data, evaluating model performance on rainfall prediction, and generating visualization reports.
- Led and co-authored peer-reviewed publications. Regularly presented findings at science conferences and to funding agencies.
Graduate Research/Teaching Assistant
University at Albany, SUNY
08.2014 - 05.2019
- Designed numerical model experiments in Unix/Linux to quantify key parameters, analyzed global rainfall statistics using 2TB+ data, and developed a joint probability model to quantify data aggregation effects. Presented research and was awarded as top 2-5% presenters at academic conferences.
- Served as teaching assistant, facilitated in-class discussions, led lab demos, mentored students in data analysis and climate modeling.
Education
Ph.D. - Atmospheric Science
University At Albany, SUNY
Albany, NY08-2019
B.S. - Atmospheric Science
Ocean University of China
Qingdao, China06-2014
Skills
- Programming languages: Python, SQL, R, Git, and Linux Bash
- Python libraries - Analysis: Numpy, Pandas, SciPy, Statsmodels, Xarray, pickle, Multiprocessing; Visualization: matplotlib, seaborn, Plotly, Geopandas; ML: Scikit-learn, TensorFlow, Keras, GCP
- Statistics, machine learning, probability, calculus, hypothesis testing, time series analysis, spatial analysis, PCA, RNN, XGBoost, random forest, logistic and linear regression, BERT
- Communication: strong presentation and writing skills
Languages
English / Chinese / French
Timeline
Sr. Data Scientist
Bloomberg
03.2022 - Current
Postdoctoral Scholar
University of California, Los Angeles
09.2019 - 03.2022
Graduate Research/Teaching Assistant
University at Albany, SUNY
08.2014 - 05.2019
Ph.D. - Atmospheric Science
University At Albany, SUNY
B.S. - Atmospheric Science
Ocean University of China
Similar Profiles
LUIS TUTALCHALUIS TUTALCHA
IT Technical Support Specialist at BloombergIT Technical Support Specialist at Bloomberg
Arvind Kumar SinghArvind Kumar Singh
Technical Specialist at BloombergTechnical Specialist at Bloomberg
Michael WongMichael Wong
VP of North America Sales at BloombergVP of North America Sales at Bloomberg
Aramis de Albuquerque FariasAramis de Albuquerque Farias
Sr. Data Scientist at Wildlife StudiosSr. Data Scientist at Wildlife Studios
Sandesh Reddy KothiSandesh Reddy Kothi
Sr. Data Scientist at DataFactzSr. Data Scientist at DataFactz