Profile
Data Scientist with strong Python & SQL foundation; experienced in designing ETL pipelines, building predictive models, and turning complex data into actionable insights. Comfortable bridging business and technical stakeholders. Hands-on with Databricks, Azure, Tableau, and Oracle Cloud across finance, investment research, and enterprise analytics scenarios.
INTERESTS & SKILLS
- Programming Languages: Python, SQL, VBA
- Data Analytics Tools: Databricks, Colab, Tableau, Excel, R Studio
- Cloud & Data Platforms: Azure, Oracle Cloud, Snowflake (familiarity), Databricks
- Data Science Techniques: Predictive Modeling, Time Series, Macroeconomic & Financial Modeling
- Other: ETL Pipelines, Reporting Automation, BI Dashboarding, Cross-functional Communication
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).