Chao (Kenneth) Wang Email & Phone Number

Utah, United States

London, England, United Kingdom

• Helped 40+ UK students apply for top master's programs across UK and US
• Built and led a team of 8 to develop effective marketing strategies that expanded customer base through via social media such as Wechat and Red; Coached 40+ students applying for master’s programs in UK and US
• Generated $10K in revenue by managing all operations including product development, marketing, and recruiting

Boston, Massachusetts, United States

• Performed EDA and feature engineering (PCA, missing value) on 40,000+ song data; Finalized model selection bycross-validation using kNN, RF, AdaBoost, Neural Network, Stacking in Python; Reached accuracy of over 80%
• Provided insights of making and investing songs by discovering key features that determine stream popularity

Boston, Massachusetts, United States

• Achieved continuous integration by encompassing code sourcing in Github, building and testing in Python; Developed both forward and reverse automatic differentiation by creating Python modules and classes
• Supported continuous delivery by deployment using AWS CodePipeline, CodeBuild, and Elastic Beanstalk

Boston, Massachusetts, United States

• Optimized two objectives simultaneously (achieving target return and minimizing risk) via goal programming; Built model more resilient to market noise via robust formulation with ellipsoidal uncertainty in Julia and.
• Presented investment insights using poster about strong correlation between Sharpe Ratio and asset allocation

London, England, United Kingdom

• Integrated comprehensive PyTorch tutorial for beginners in Deep Learning, including data loading, transformation, dimension reduction, model training and evaluation, gaining great feedbacks from peers
• Analyzed trending models including CNN and Transformer with respect to their advantages and drawbacks

Pudong, Shanghai, China

• Introduced new metric to assess business activity level through GLM in SQL, signing 3 more corporate clients
• Performed large-scale market and competitor analysis to advise R&D team on product development
• Re-designed terminal interface by Axure to connect product modules, increasing monthly sales by 30%

Pennsylvania

• Web-scraped 200+ census tract data of Austin, Texas; Conducted data preprocessing and extracted key parameters (Python), including social economic factors, geographic information and alternative transportation means.
• Published in Transportation Policy in 2022, delivering key insights for governmental decision making

United States

• Led team of 3 to build and deploy app by Python Flask, AWS CodePipeline, CodeBuild, and Elastic Beanstalk that allowed over 10,000 users to log in simultaneously; Achieved continuous delivery by encompassing code.
• Conducted user analysis and gained 95% of positive feedbacks by improving the front-end UI in HTML/CSS

Singapore

• Preprocessed 5000 images using dimensionality reduction including PCA and texture analysis (R and MATLAB); Performed model selection via feature engineering and cross-validation to ensemble MLR, SVM, RF, XGBoost
• Developed interpretable and parsimonious model to increase accuracy (90.8%) by 6.4% compared to DL models

London, United Kingdom

Hong Kong

• I was an undergraduate student at the Chinese University of Hong Kong who transferred to UCL after 2 years of study. During my second year, I started to do research about missing data with my mentor who is a Harvard PHD.
• The first project involved achieving double robustness of multiple imputation (MI) of missing data.
• The second project involved quality control over multiple imputation (MI) and improving Donald Rubin’s proposal.

Changzhou, Jiangsu, China

• Commercial awareness: Participated in basic work training in the bank to familiarize business and its processing; assisted clients in filling business tables, answered their questions about bank business
• Analytical skills: Helped to complete industrial information collection, statistics and integration; studied simple research and analysis skills for data; completed information delivery and communication among.

Master Of Data Science, Data Science, 3.94/4.0

School of Engineering: Data Science, Advanced Topics in Data Science, Software Development Harvard Business School: 5 Tech that will.

Cross-Registration, Computer Science & Business Analytics, 5.0/5.0

EECS: Machine Learning, Optimization Methods, Algorithms, Applied Cryptography and Security MIT Sloan School of Management: Organizational.

Bachelor Of Science - Bs, Statistics, 80/100 First Class

Rank No.1 out of 117 students in the department before year 3. Dean's List for 2022

Other, Statistics, 3.96/4

Activities and Societies: 2 years of undergraduate study before transferring to UCL. Doing a research project regarding missing data.I am.