Data Science • Product Analytics • Experimentation
I’m Amanda — an aspiring Data Scientist & Product Strategist. I turn large-scale data into insights (and experiments) that improve user experiences, growth, and decision-making.
Most recent impact
100K+
customer records analyzed for churn drivers & forecasting
+15%
performance lift
3
regions
Power BI
dashboards
Built around Spotify-style work: user behavior, experimentation, recommendations, and metrics.
Full-Stack Development • Data Integration
Designed and built an ASP.NET full-stack bookstore platform, integrating inventory management, pricing logic, and analytics-driven reporting to support business decisions.
Product Analytics • Experimentation
Analyzed user behavior and feature performance to support product decisions. Framed hypotheses, tracked funnel metrics, and supported A/B testing.
Dashboards • Forecasting
Built dashboards across 3 regions and analyzed 100K+ records to identify churn drivers and forecast trends for decision-making.
Recommendation • NLP-ish
Applied text analysis + similarity metrics to recommend courses from syllabus content. Focused on interpretability and user fit.
Growth • Content Strategy
Used engagement signals to refine content strategy and improve discovery. Designed metrics to track reach, retention, and conversion.
My professional journey
Product & Data Analytics Intern
Shin Kong Life Insurance
📅 Jun 2025 – Aug 2025
Product / Analytics Intern
Suits (Legal-Tech)
📅 2024
Product & Data Analyst
UT Austin — Digital Writing & Research Lab
📅 2024 – Present
A Spotify-friendly toolkit for DS + product analytics.
Python • R • SQL • Linear & Logistic Regression • Significance Testing • Statistical Modeling • Hypothesis Testing • Time Series • Segmentation
A/B testing • Metrics design • Funnels • Cohorts • Dashboards • Decision memos
Power BI • Tableau • Excel • GitHub • Jira • Data Visualization • Stakeholder Communication