Huan WEI

Data Analyst

Data Analyst and Quantitative Researcher with extensive experience in financial markets and data visualization. Currently developing quantitative trading strategies and alpha signals at CloudAlpha Capital. Specialized in building data-driven solutions combining fundamental analysis with quantitative methods. Strong background in visual analytics and machine learning, with multiple publications in top-tier conferences (ACM CHI, IEEE VIS). Proficient in developing full-stack applications for timeseries multi-modal and financial analysis.

Working Experience

Quantitative Data Analyst

CloudAlpha Capital

Shenzhen, China

Mar 2021 - Present

  • Develop and maintain quantitative libraries and tools for research and trading purposes. Identify profitable trading opportunities by analyzing stock data, alternative datasets, and market trends. Build and maintain complex models to evaluate investment opportunities
  • Design and build internal information infrastructure including risk-reward system. Build crawler systems and analytic tools for alternative data. Develop efficient and scalable code to automate data processing, analysis, and modeling processes
  • Design and develop quantitative analysis system, multiple quantitative indicators. Design and develop Alpha signals based on quantitative indicators, build Alpha seeker system for both fundamental and quantitative research
  • Work closely with portfolio managers, traders, and research analysts to identify investment opportunities and strategies. Communicate complex quantitative concepts and analysis results to both technical and non-technical cooperators

Data Analyst Intern

CloudAlpha Capital

Hong Kong, China

Aug 2020 - Mar 2021

  • Gather, clean, organize data from various sources. Perform simple statistical analysis, identify patterns and trends in data for analysis
  • Conduct research to identify new data sources and explore innovative ways to extract valuable insights. Assist with ad hoc data requests and queries

Research Assistant

HKUST VisLab

Hong Kong, China

Aug 2018 - Aug 2019

  • Clean and preprocess research data to ensure accuracy and consistency. Handle missing values, outliers, and data irregularities
  • Design and maintain efficient data storage and visualization systems for scientific research. Ensure fast and reliable data retrieval for visualization purposes
  • Design and implement data models suitable for research visualization needs. Transform and aggregate data to support various visualization requirements. Develop custom data visualization tools and dashboards in ReactJS, D3js, etc

Engineer

Sogou Technology

Beijing, China

Mar 2017 - Aug 2017

  • Design intuitive and visually appealing user interfaces. Create responsive and cross-browser-compatible layouts using HTML, CSS, and JavaScript. Optimize UI/UX performance and ensure a smooth user experience
  • Implement interactive features and user interactions using JavaScript and related libraries, create engaging animations and transitions to enhance the user experience in mobile web browser
  • Integrate frontend with backend APIs, handle asynchronous data requests, and manage application state. Implement error handling and data validation in frontend

Engineer

Meritco Service

Beijing, China

Dec 2015 - Dec 2016

  • Collaborate with designers, data analysts, and stakeholders to understand data visualization requirements
  • Develop custom visualizations when required to meet specific data representation needs. Handle data updates and real-time data streaming for dynamic visualizations
  • Integrate visualizations with backend APIs and data sources. Implement interactive features that allow users to explore and manipulate data visualizations

Projects

Alpha9C - Quantamental Analysis Platform

An In-developing Project

Production

Live Demo

A sophisticated quantamental analysis platform that combines quantitative and fundamental analysis for stock market insights. The platform follows the principle "Complex World, Simple Rule" to generate alpha signals in the cloud.

  • Developed an automated system for gathering and analyzing both fundamental data and quantitative signals to identify potential alpha opportunities
  • Built comprehensive business and sector competition analysis modules to provide deeper market insights
  • Created an intuitive ticker-based interface for generating alpha signals with sophisticated backend algorithms
Python Machine Learning Financial Analysis NLP Cloud Computing

Education

PhD Candidate, Discontinued

The Hong Kong University of Science and Technology

Hong Kong, China

Sep 2019 - Aug 2022

  • Conducted research under the supervision of Prof. Huamin Qu at the HKUST VisLab, focusing on data visualization and visual analytics
  • Developed novel visualization techniques for exploring and analyzing large-scale, complex datasets
  • Published research findings in prestigious conferences and journals in the field of data visualization and human-computer interaction
  • Taught undergraduate courses and mentored junior students in data visualization and programming

Master of Science, Big Data Technology

The Hong Kong University of Science and Technology

Hong Kong, China

Sep 2017 - Nov 2018

  • Conducted a master's thesis project on scalable machine learning algorithms for processing massive datasets
  • Participated in big data hackathons and workshops to gain hands-on experience and collaborate with industry professionals

Bachelor of Engineering in Computer Science

Beijing University of Posts and Telecommunications

Beijing, China

Sep 2012 - June 2016

Academic Publications

A Visual Analytics Approach to Facilitate the Proctoring of Online Exams

Paper

ACM CHI

2021

Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network

Paper

ACM CHI

2020

Predicting Student Performance in Interactive Online Question Pools Using Mouse Interactions

Paper

ACM LAK

2020

Visual Analytics of Student Learning Behaviors on K-12 Mathematics E-learning Platforms

Poster

🏆 Best Poster Award

IEEE VIS

2019

PeerLens: Peer-inspired Interactive Learning Path Planning in Online Question Pool

Paper, Video

ACM CHI

2019