San Diego, CA
The Data Dispatch of Hannah Sky Gonzalez
The Gonzalez Times
Driven by Curiosity, Built on Data

Vol. I, No. 1 Data Science · Machine Learning · Analytics
Exploring Data and AI Without Borders
Bridging the gap between data and AI to create impact.

Hi, I'm Hannah Sky Gonzalez! I'm a senior double majoring in Data Science and International Business at UC San Diego, graduating in April 2027. As a double major, I've developed a passion for connecting data with an international business mindset. When it comes to data science, I use my expertise to follow my curiosity, creating data science questions and taking them from a question to a solution that connects to impact through machine learning and AI. On campus, I'm involved with Women in Business, where I am a proud Latina in Tech, and work at a data science lab where I help inspire future engineers by teaching K-12 students Arduino and data science. I focus my work on mentorship and giving back to my community in any way that I can. For me, trying new things can be challenging, but I value opportunities that push me outside my comfort zone. As someone who interned in China, I learned to adapt to my surroundings and how to live in a different culture. Overall, my experiences have prepared me to work hard and passionately.

You must not let anyone define your limits because of where you come from.
— Remy, Ratatouille

Outside of my studies, I'm usually traveling to new countries, grabbing a matcha, or watching basketball. I probably already heard of the latest matcha cafe in the area. I'm a huge fan of college ball and March Madness. I believe the best insights come from having a mix of different experiences and perspectives. My internship at JPMorgan Chase & Co. has given me the opportunity to apply that mindset to real-world problems through machine learning and AI. Ultimately, I love to learn, teach, and inspire!

Hannah Sky Gonzalez
At a Glance
LocationSan Diego, CA
DegreesB.S. Data Science &
B.A. International Business
Recent RoleData Science Analyst Intern at JPMorganChase
PronounsShe/Her/Ella
InterestsTravel, Matcha, Basketball
Current FocusMachine Learning, AI
LanguagesEnglish, Spanish
Featured Projects
NCAA ML
NCAA March Madness Cinderella Anomaly Detection

Predicted tournament upsets to flag undervalued teams, using Logistic Regression, SMOTE, and PCA to achieve a 187% F1-score improvement over the baseline.

Skills: Python, Scikit-learn, Pandas
League of Legends ML
League of Legends Position Prediction

Built a Random Forest model to predict a player's position from gameplay metrics, analyzing champion choices and performance patterns across matches to achieve 77.3% accuracy.

Skills: Python, Scikit-learn, Pandas
All Projects →
Career
June 2026 – August 2026
Data Science Analyst Intern
J.P. Morgan Chase
November 2025 – Present
Lab 3.0 Fellow
HDSI · San Diego, CA
June 2025 - August 2025
Research Intern, Product
LOZO · Shanghai, China
Resume →
Skills
  • Machine Learning & MLOps
  • Statistics & Feature Engineering
  • Data Analysis & Visualization
  • Big Data Processing
  • Business Intelligence