About
Data science professional with 5 years of experience spanning analytics, machine learning, and data visualization.
UC San Diego B.S. Data Science graduate with hands-on research experience at Scripps Institution of Oceanography
and the Halicioğlu Data Science Institute, plus industry experience at Deloitte. Passionate about turning complex
datasets into actionable insights — from analyzing 70+ years of climate data to building award-winning autonomous
vehicle systems.
Education
B.S. Data Science
San Diego, CA
Coursework
Machine Learning
AI
Computer Vision
Data Structures
Algorithms
Probability
Statistics
Linear Algebra
Recommender Sys
Web Mining
Languages
Python
SQL
Java
C/C++
R
JavaScript
TypeScript
HTML/CSS
ROS2
Linux
Libraries & Frameworks
PyTorch
TensorFlow
Pandas
Keras
Scikit-learn
XGBoost
NumPy
PySpark
D3.js
React
Hugging Face
Halicioğlu Data Science Institute
Autonomous Vehicle Development
- Optimized gradient descent steering algorithms for figure-8 track cornering with Docker environments for GPS/IMU integration
- Won 1st place at Purdue's collegiate go kart race — 30 mph with autonomous emergency braking
Scripps Institution of Oceanography
- Developed Python pipelines analyzing 70+ years of climate data from 60 coastal airports
- Applied PCA, polynomial & ridge regression for cloud cover/temperature correlations
- Co-authored published research linking urbanization to local temperature changes
Deloitte
- Analyzed USDHHS data to identify traits leading to drug abuse using XGBoost & regression models
- Presented findings to senior management with Seaborn & Plotly visualizations
Highlights
70+
Years of Data Analyzed
16M+
Rows Processed
1st
Place at Purdue