MSc Business Analytics · HKUST · Hong Kong
王乐川
Lechuan Wang
Marathon Runner, Complex Problem Solver
A cross-disciplinary background in Statistics, Business Analytics, and AI Agents, focused on AI and data-driven work — turning frontier AI into deployable business value.
Get in Touch
QS #4
HKUST Asia Rank
3.9
HKUST GPA / 4.3
#15
Beijing Marathon 42km
Top 25%
Math Modeling Top 25%
300+
AI Product Users
5+
AI Projects
About Me

In the AI Era, Perspective Defines Possibility

I'm Lechuan Wang, an MSc student in Business Analytics at HKUST (2025–Jan 2027, expected), holding dual degrees in Statistics from CUEB and Statistics & Data Science from the University of Arizona.

"I believe data skills are the foundation — but the real value lies in translating insights into decisions that stakeholders actually act on. That's how I define my role: an analyst who bridges data and business judgment through communication."

My core strength lies in combining statistical modeling, machine learning, and AI Agent capabilities with real financial business contexts — with end-to-end experience from requirements analysis through model deployment in equity investment, quant analysis, and data products.

At the 2025 graduation ceremony, I was the sole departmental honor student to speak on behalf of all graduates, receiving the Outstanding Senior Award from the Dean. My experience across finance, technology, and academia forms a uniquely differentiated profile.

Lechuan Wang
Education

Academic Background

Statistics finds the shape of uncertainty. Business analytics turns it into a decision.

PLATE I · PROBABILITY FOUNDRY NORMAL · N(μ,σ²)
Random observations settle into a visible structure.
I

Statistics · Foundations

The Shape of Uncertainty

Two statistical traditions taught me to look beyond noise, estimate what cannot be seen directly, and make uncertainty measurable.

Capital Univ. of Economics & BusinessStatistics · BSc
2021.09—2025.06GPA 4.0 / 5.0Top 6 in Major
University of ArizonaStatistics & Data Science · BSc
2021—2025GPA 3.8 / 4.0Magna Cum Laude
Open statistical record
  • Recommended for postgrad without exam — Top 6 in major
  • Sole departmental honor student at graduation, spoke on behalf of all graduates
  • Magna Cum Laude — GPA 3.8/4.0
  • Spring 2025 Outstanding Senior Award
II

Business Analytics · Application

Finding Signal in Market Noise

Stock prices never stop moving. Valuable information often hides between noise, frequency, and unusual change. Business analytics turns those weak electrical signals into interpretable judgment.

Hong Kong Univ. of Science & TechnologyBusiness Analytics · MSc
2025.08 – 2027.01 (Expected)GPA 3.9 / 4.3QS Asia #4
Open complete course ledger
High-Dimensional StatisticsA+ Decision AnalyticsA+ Data AnalyticsA+ Python Statistical LearningA+ Intro to Business AnalyticsA+ Business Modeling & OptimizationA AI for BusinessA− Visual AnalyticsA−
CapstoneNan Fung Group ESG AI Agent Consulting Project
PLATE II · MARKET SIGNAL FIELD PRICE × SIGNAL
Move across the course modules to reshape the decision landscape.
CUEB Campus
Capital University of Economics & Business
University of Arizona
University of Arizona
HKUST class
Assisted professor in demoing my self-developed modeling method
HKUST event
HKUST MSBA Motto: Be the Best Project
AI Projects

Selected AI Projects

“代面”求职 AI 产品
已上线产品 AI Agent × 语音 × 产品设计
2026 年 3 月 — 至今 · 香港

“代面”是一个面向校招、实习与转岗人群的 AI 求职训练产品。它用 LangGraph 控制自适应追问与群面发言调度，用 AI Council 先生成面试路线图，再结合语音链路、结构化报告和长期记忆，把模拟面试、AI 批改、历史复盘、战略咨询整合为一条连续路径。

0+
试用用户量
已触达约 300 位使用者，持续收集反馈迭代
0/5.0
用户好评度
综合反馈约 4.6 / 5.0，保持高满意度区间
0项
核心 AI 能力
覆盖面试设计、自适应提问、智能群面、语音链路、结构化复盘与长期记忆
在线产品 代面 访问已上线的产品页面 功能介绍 功能介绍视频 查看核心功能、面试流程与产品体验 Demo 视频 产品演示 查看“代面”的完整演示视频 产品网站 项目介绍页 查看产品材料、功能说明与项目展示
AI Projects

Selected AI Projects

Capstone AI 咨询项目（南丰集团）
Capstone 项目 ESG × AI Agent × 咨询
2026 · Hong Kong

面向南丰集团 SEWIT 社会价值管理场景，我们设计并交付 AI SEWIT workflow app 原型：把分散在描述、PDF、图片、表格和人工输入中的 evidence，转化为可映射、可监控、可导出的管理流程。

0层
系统架构
输入 → 分类 → 审核 → 录入 → 监控 → 报告
0维
监控维度
健康度、缺口、落后项与预测风险
0场
咨询会议
围绕需求澄清、方案设计、原型演示与交付落地推进
0个
试点项目
英国 SEWIT 团队正在用系统监控的项目试点
AI SEWIT workflow
01
证据采集
整合 initiative 描述、PDF、图片、表格与人工输入。
02
Proxy 映射
基于 approved reference documents 进行 RAG 检索与 TOMs proxy 建议。
03
监控与缺口识别
跟踪 evidence completeness、target gaps、behind-target initiatives 与风险预测。
04
报告导出与交接
生成 stakeholder-ready summaries，并交付代码、架构文档、API 指南与培训材料。
AI Projects

Selected AI Projects

纳斯达克成分股舆情分析 AI 系统
AI 应用课程项目 RAG × Multi-Agent × Sentiment
2025 年 10 月 — 2025 年 12 月 · 香港

一个面向个人投资者的信息分析 AI 系统，聚焦纳斯达克成分股相关舆情、事件与市场观点，并将多源文本信号转化为更直接的结构化分析体验。

  • 面向个人投资者的情绪面分析需求，定义重大事件分析、异动归因、多空论战、交易建议四大核心功能模块。
  • 设计基于 RAG 架构的 Multi-Agent 方案，完成各 Agent 的职责划分、调用链路编排与 Prompt 工程设计。
  • 通过 Alpha Vantage、Yahoo 等 API 实现新闻与评论数据的自动采集与结构化，实现一键式智能分析体验。
Report Generation Workflow
Nasdaq Report Generation Workflow
Project Report Nasdaq AI System Report Open the project report Source Code GitHub Repository View the full project code and architecture
Work Experience

Internship Experience

Jun 2024 — Aug 2024
ICBC Credit Suisse
Asset Management Co., Ltd.
Client Profiling & Channel Analysis
ICBC Credit Suisse
工银瑞信 — 公募 No.2
  • GMM clustering segmented ICBC clients into 5 types; quantified risk appetite and asset scale differences
  • Independently wrote 5,000-word client channel profiling report and presented to department manager
Mar 2025 — Jun 2025
Beijing Quant Evolution
Technology Co., Ltd.
AI Agents & Quant Modeling
AiQuant Platform
北京宽客进化科技 博士后科研工作站
宽客进化科技 — 博士后工作站
  • Built RAG-based personalized marketing AI Agent: KMeans clustering for 4 customer profiles, DeepSeek-R1 for auto-generating copy
  • Built stock discretization model using Multi-stage EM-HMM; significantly improved prediction efficiency
Dec 2025 — Feb 2026
Focus Technology
Co., Ltd.
Buyer Quality & Risk Modeling
Focus Technology
Focus Technology HQ — Nanjing
  • Led buyer quality assessment system design; defined credibility & capability dimensions; implemented with HiveSQL & PySpark
  • Led problem buyer classification model: 99.6% precision, 98.1% recall — drove risk-tiered strategy to production
Feb 2026 — May 2026
PICC Asset Management
(Hong Kong) Co., Ltd.
Market Research & AI Reporting
HSBC Global Investment Summit
HSBC Global Investment Summit — Forum with Former Fed Chair Janet Yellen
  • Tracked HK/A-share/US markets via Wind terminal; wrote daily, weekly, and monthly market reports
  • Built 3 automated report AI Agents on Dify — data collection, key point extraction, formatted output, zero manual intervention
  • Used Karpathy's LLM-Wiki with Claude Code to structure reports, reuse investment views, and write notes more efficiently than RAG.
Awards

Honors & Awards

2023.03
2023 Beijing Railway Marathon — Rank #15
Full 42km event · March 2023
2023.09
Huashu Cup Math Modeling — 3rd Prize
National Undergraduate Mathematical Modeling Invitational · Sep 2023
2023.11
National Undergraduate Mathematical Modeling Contest — Beijing 2nd Prize
Beijing Region · Nov 2023
2025.04
Recommended Postgraduate Qualification
Top 6 in Major · 2025
2025.05
Outstanding Senior Award · Graduation Honor
University of Arizona Department of Mathematics · Outstanding Senior Award; sole departmental honor student speaker at the 2025 graduation ceremony.
University of Arizona Outstanding Senior Award
Graduation Speech
2025.06
Magna Cum Laude
University of Arizona · GPA 3.8/4.0 · Statistics & Data Science · 2025
2026.05
MCM/ICM Honorable Mention
Global Top 25% · May 2026
Modeling

Mathematical Modeling

Mathematical modeling is where I connect statistics, structured thinking, and real-world problem solving. It reflects how I break a vague challenge into assumptions, variables, and an executable framework.

Sample——“基于自适应损失函数的弱监督粉丝投票数估计模型”
Report
数学建模完整报告

This report builds a weakly supervised fan-vote estimation model around incomplete and noisy vote observations, using an adaptive loss function to improve robustness and convert fragmented signals into a more reliable prediction framework.

Methods Pairwise Hinge Loss Soft-Rank Surrogate Bottom-Two Membership Loss Placement Regularizer Softmax Vote Share Bootstrap 95% CI Random Forest XGBoost LightGBM Permutation Importance Spearman Correlation Dynamic Stage-Dependent Weighting
下载报告
Expertise

Technical Skills

Core Skills Tools Projects
Personal

Marathon Mindset

Marathon isn't just a sport — it's my mental framework for tackling complexity. Across 42 kilometers, there are no shortcuts. Only rhythm, endurance, and focus.

In the 2023 Beijing Railway Marathon, I finished 15th in the full 42km event. That's exactly how I approach data and AI projects: never avoid complexity — just run the full distance. Fluent English, TOEFL 98.

Race Moments
42km
Full Marathon
#15
Beijing Marathon Rank
Contact

Let's Connect

Whether it's a job opportunity, collaboration, or a conversation about AI × Business Analytics — feel free to reach out.

lechuanwang2003@163.com
+86 13301132863
WeChat · wlc1212123
https://github.com/LechuanWANG
Tweaks