Jagger Jie Li

Data Scientist · Hong Kong
IANG Visa Holder Jaggerxlee@gmail.com · +852-5565-0353

Profile

Data Scientist specializing in predictive modeling, financial analytics, and data-driven business decision making. Experienced in building ETL pipelines, developing machine learning models, and translating complex datasets into actionable insights. Hands-on with Python, SQL, Databricks, Azure, and Tableau across financial analytics, investment research, and enterprise data environments. Strong ability to bridge technical implementation with business strategy in finance, e-commerce, and digital platforms.

SKILLS & TECH STACK

  • Programming: Python · SQL · VBA
  • Data Science & Machine Learning: Predictive Modeling · Time Series Forecasting · Statistical Modeling · Feature Engineering
  • Data Platforms & Cloud: Databricks · Azure · Snowflake (basic experience) · Oracle Cloud
  • Analytics & Visualization: Tableau · Excel · RStudio · Google Colab
  • Data Engineering: ETL Pipelines · Data Cleaning · Reporting Automation · BI Dashboard Development
  • Domain Expertise: Financial Analytics · Investment Research · E-commerce Data Analysis

Experience

Freelancer — Data Scientist

Jun 2019 – Present · Hong Kong (Remote/Consulting)
  • Conduct macro, trade and corporate analysis (Python/R) to generate insights for client decision-making.
  • Lead multi-source investment data reconciliation (Excel/offshore inputs/3rd-party systems) to ensure financial & actuarial consistency.
  • Build supervised learning models (XGBoost/SVM/LightGBM) to improve RVG (Revenue/Visits/Growth) forecasting in e-commerce.

DHgate.com — Capstone Project (Team Lead)

Mar 2023 – May 2023 · Shenzhen
  • Modeled US TikTok live-commerce data with OLS/Lasso/Random Forest/XGBoost/SVM to identify sales & audience growth drivers.
  • Produced data-driven SOP with recommendations on assortment mix, audience sizing, and items per stream (see Publications).

HGTECH — Training Specialist (Business Analyst)

Feb 2018 – May 2019 · Wuhan
  • Integrated ERP data and designed a reporting framework to streamline KPI tracking.
  • Partnered with Finance/HR to build compensation analytics and performance linkage.
  • Built training programs from frontline to management (rotation, onboarding, leadership development).