Sherri Son

Currently seeking a part-time data science or analytics internship to apply my technical skills to impactful business problems. As an international student (F-1 visa), I am available for unpaid internship opportunities and can work nearly full-time hours during business days, as my graduate classes are scheduled for evenings after 6 PM.

I am pursuing an M.S. in Data Science at Fordham University with extensive coursework in analytics, machine learning, and deep learning. My academic performance reflects my technical strength—I earned an A+ in Introduction to Computer Vision and an A in Machine Learning during my undergraduate times. Currently, I'm collaborating with two professors on research analyzing text and image data from South Korea's largest Q&A platform using topic modeling and computer vision techniques. This ongoing project has been selected for presentation at the ASSIST(Association for Information Science and Technology) conference, demonstrating my ability to tackle complex, real-world datasets. Below are the detailed projects that I did.

Technical expertise with proven project experience:

(1) Deep Learning & Computer Vision: Built PyTorch Pokemon classifier comparing CNN architectures (AlexNet, Inception, ResNet50, VGG), achieving optimal performance with Inception model

(2) Big Data & Cloud: Processed large-scale Twitter datasets using Hive on Amazon EMR for sentiment analysis, creating interactive Tableau dashboards for geographical sentiment distribution

(3) Full-Stack Development: Developed Python-SQL language education platform with emoji-based learning interface and user profile/history database management

(4) Statistical Analysis & Visualization: Conducted comprehensive airport population transfer analysis in R, proposing new routes for Incheon International Airport based on data-driven insights

(5) Research & NLP: Applied topic modeling and Social Deprivation Index analysis to Naver Q&A platform data, investigating regional information inequality across South Korea

My GitHub portfolio showcases practical skills in data preprocessing, modeling, and visualization. I'm eager to contribute data-driven insights to your team while learning industry best practices and expanding my experience with production-scale data science workflows. (github.com/Sherrie-her)

I would welcome the opportunity to discuss how my technical background and research experience can add value to your analytics initiatives.