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 2026 –
Meta
Incoming Data Science Intern
- Incoming Data Science Internship focused on driving data-informed insights across Meta products, user behavior, and experimentation.
Jun 2025 – Sept 2025
Handshakes
Data Science Intern
- 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.
Mar 2025 – Jun 2025
Amazon
Data Analytics Extern
- Applied NLP methods to uncover themes and sentiment patterns in unstructured employee feedback.
- Conducted statistical analyses to link sentiment patterns with attrition drivers, informing a targeted retention strategy.
Jan 2025 – Jun 2025
Reinforced Ventures
Data Science Intern
- 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.
- - Developed the first variance-aware uncertainty quantification approach in this context to ensure defensible, high-confidence emissions estimates.
Jun 2024 – Aug 2024
CAAS
Data Engineer Intern
- 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
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.
Balancing Performance and Longevity: Modeling Injury Risk in MLB Pitcher
Developed statistical models to quantify the relationship between pitch-type usage, workload patterns, and short-term injury risk among MLB pitchers. Applied clustering and predictive modeling techniques to identify workload profiles associated with increased injury likelihood, balancing performance output with long-term durability.
Technical Skills
Programming Languages
Data Visualization
Data Analysis & ML
Statistics
Product
Tools
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