Hannie Xie
✨transforming ✨ data into insights • ✨building ✨ products that matter
Hey there! I am Hannie!
📚 Stats & Data Science major | Data Science Engineering minor @ UCLA
💡 I'm passionate about the intersection of data and product - where raw numbers transform into real insights, and these insights drive meaningful change. I love being part of the full journey: from making sense of messy data to uncovering patterns through analysis or machine learning, and using all that to shape smarter, more user-friendly products.
There’s something incredibly rewarding about knowing the work you do can help make someone’s experience smoother, faster, or just better.
💖 Things I love: pink 🎀, boba 🧋, dancing💃🏻, watching movies and tv shows 🎬
📍 Welcome to my little corner of the internet! Please feel free to reach out and happy exploring!
Experience
Jun 2025 – Present
Handshakes
Data Science Product Analyst
- Collaborating with product and engineering teams to scope data-driven feature improvements for Handshakes' app.
- Designing and monitoring product analytics dashboards to evaluate feature adoption and performance using SQL and Python.
Jun 2025 – Present
Adobe
Brand Ambassador
- Promoting Adobe Express through student workshops, social campaigns, and peer-to-peer engagement at UCLA.
Jan 2025 – Jun 2025
Reinforced Ventures
Data Scientist
- Defined metrics of founder success using lab pedigree, patent count, and startup outcomes across robotics and biotech domains.
- Built predictive models to identify high-potential founders based on historical data from portfolio companies.
Mar 2025 – Jun 2025
UCLA Health
Research Assistant
- Built a statistically sound sampling framework to estimate CO₂ emissions, enabling accurate life-cycle analysis of 25K+ medical products.
Oct 2024 – Mar 2025
Unishack
Business Analyst
- Conducted SEO audits and competitor analysis on sites like Zillow and Apartments.com to identify high-impact student housing keywords.
- Developed user segmentation and UX improvement recommendations based on student feedback and web traffic data.
Jun 2024 – Aug 2024
CAAS
Data Engineer
- Built and maintained ETL pipelines in Azure Synapse Analytics to process 10GB of aviation data daily across 20+ tables.
- Automated data cleaning and integration scripts in Python and Excel VBA to streamline manual workflows and reduce errors.
Featured Projects
Amazon Operational Strategy
Transformed unstructured employee feedback into actionable retention strategies by developing data-driven cohort profiles and operational recommendations.
DataFest Hackathon (🏅 Winner)
Developed data-driven insights by identifying growth drivers and forecasting high-potential regions across tech, finance, and legal sectors. Delivered recommendations to guide client leasing decisions.
K-drama Analytics & Recommendation System
Analyzed viewership trends, genre popularity, and audience demographics of Korean dramas to identify key features driving drama success. Built a recommender system to match users with personalized K-drama suggestions.
Who Can Replace Busquets? Tactical + Statistical Deep Dive
Used player performance metrics and clustering techniques to identify modern midfielders who mirror Sergio Busquets’ unique playing style. Combined data-driven analysis with tactical context to evaluate potential successors.
Technical Skills
Programming Languages
Data Visualization
Data Analysis & ML
Statistics
Product
Tools
Curious to see more of my work?
Explore my Playground✨Get in touch✨
I am currently looking for Summer 2026 internships! Feel free to contact me at yuhan.xie04@gmail.com