π©βπ M.S. in Business Analytics @ WFU πΊπΈοΌ B.S. in Marketing & Applied Mathematics @ PolyU ππ°
π Other Passions & Talents: Member of the school basketball team in UG; Volunteer teaching; Outdoor cycling
Data Professional specializing in B2B retail analytics (CPG/snacks), with expertise in market entry strategy, operational efficiency, and cross-industry analytics (finance, advertising). Proven ability to drive growth through end-to-end data solutions - from ETL pipelines (Python/SQL/Airflow) and predictive modeling to statistical analysis (hypothesis testing, regression) and interactive dashboards (Tableau/Power BI), automating insights that boosted sales.
- Programming & Tools: Python (Pandas, Scikit-Learn, TensorFlow), SQL, R, Git
- BI & Viz: Tableau, Power BI, Matplotlib, Seaborn
- Data Engineering: Airflow (Astro), MinIO, Docker, Spark, AWS
- Analytics: A/B Testing, Data Modeling, ML, NLP, Forecasting
- (Jun 2025) Stock Market ETL Pipeline with Airflow (Astro) An end-to-end pipeline that fetches NVDA stock data via Yahoo Finance API, stores it in MinIO, processes it in a Spark container, and loads it into PostgreSQL via Airflow. Dashboard is built using Metabase.
- (Oct 2025) Page Optimization AB Test Project End-to-end A/B testing project involving data cleaning, statistical hypothesis testing (z-test, t-test), effect size analysis, segmentation, and visualization using Python (pandas, scipy, statsmodels, seaborn)
- (Aug 2025) DoorDash Discounts Analysis (Self-Practice) End-to-end analytics case study on discount campaigns, including statistical tests, stakeholder insights, and recommendations.