Natalie Xiong Email & Phone Number

Singapore

Seattle, Washington, United States

Human-centered AI Research

Orlando, Florida, United States

• Communicated with business stakeholders on finalizing data solutions to various types of business problems: forecasting, optimization, and experiment design
• Spearheaded the team’s efforts in leveraging multiple data sources (local files, Oracle, AWS redshift, SPSS) with intensive data cleaning, data generation process understanding, data quality check, and data.
• Led data science efforts in forecasting booking curves to help inventory management, methods used include FB Prophet, Holt-Winters, GBDT(CatBoost, XGBoost), and Non-homogenous Poisson Process.
• Initiated MLops efforts with hands-on work on data pipeline and facilitated implementation of ML models on the AWS platform, services used include Sagemaker, S3, and Redshift
• Successful business presentation to non-technical stakeholders (CFO, VP level) on monthly updates of forecast project
• Conduct survey analysis (Qualtrics platform) on key drivers for NPS (MANOVA, t-test), create data visualization (R, PowerBI) for customer satisfaction report, and provide action items

Remote

• Provide biostatistical consulting with faculty, postdoctoral fellows, and graduate students working on the STRONG Kids 2 data set to determine the best analytical approaches.
• Conduct Latent Class Mixture Modeling to find trajectory groups among children to characterize their obesity development
• Perform multivariate multinominal logistic regression to identify predictors of different trajectory groups.
• Write up the method and results section of manuscripts for publication.

Champaign, Illinois, United States

• Data clean for STRONG Kids 2 program, a 7-year longitudinal transdisciplinary project on individual biology and family environment to understand healthy development.
• Apply Latent Class Growth Mixture modeling and logistic regression to identify growth trajectories and risk factors

Remote

• Worked on application performance monitoring data, including data clean, missing pattern analysis, K-means clustering, and cross-validation across multiple locations.
• Collaborated with Aternity Insight team on developing survey tool and prototyping analytic modules for sentiment and marketing analyses.

San Francisco, California, United States

• Collaborated with product manager and engineering team on developing an ML product that aims to automatically find and fix IT problems for Riverbed’s customers, many of whom are fortune 500 companies.
• Extensive experience with large queries on JSON type data extraction and processing, using Azure data explorer, KQL/SQL language, and Azure machine learning studio.
• Assist in data engineering via developing Python scripts for data streaming from multiple data sources based on RESTful API
• Implement time series algorithms, such as simple exponential smoothing, Holt-Winter forecasting, STL decomposition for anomaly detection.

Urbana-Champaign, Illinois Area

• Assisted in the implementation of a large-scale (over $1,900,000) experimental study funded by the National Science Foundation. Duties include running a 2×2 factorial design experiment: randomize 615 participants to 4.

• Import a large dataset (536,177 students) using SPSS syntax and check the randomness of missing cases
• Test measurement invariance of responses from 57 countries using factor analysis and the alignment method
• Predict student’s test anxiety using Bayesian multilevel regression with rjags package in R

Champaign, Illinois, United States

• Conduct network analysis with the nomination data (a one-to-many dataset) to identify peer clusters with matrix and R-igraph package
• Quantify country difference in regression coefficients in the context of multiple-group analysis (e.g, path model, chi-square difference test) using Mplus

Shenzhen, Guangdong, China

• Double hired by New Oriental Headquarters in Beijing as an excellent group trainer for subsidiary companies
• Key member of New Oriental E-learning Program, developed online AP courses that is bestselling from 2015-2017
• Led the marketing team on 5 roadshows, worked with the product team on developing a training plan for new tutors, and achieved a 100% growth in revenue from AP project that year.

Shanghai City, China

Write strategies analysis report of fixed income with monthly & quarterly performance report for overseas clients. Work with other departments for company annuity bidding documents and prepare materials for the yearly examination from the Social Security Fund, China

Doctor Of Philosophy - Phd, Developmental And Child Psychology

Activities and Societies: Society of Research on Adolescent Member; Society of Research on Child Development Member We work on examining.

Bachelor Of Economics And Bachelor Of Science, Economics And Psychology

Master Of Economics, Economics