DANIEL LEE
Cupertino, CA *******@******.*** linkedin.com/in/lee4293 408-***-****
EDUCATION
Purdue University - West Lafayette, IN Aug 2022 - May 2026 Bachelor of Science in Data Science GPA: 3.73 / 4.0 SKILLS
Languages: Java (5 years), Python (1 year), R (1 year), SQL (6 months), C (6 months) Tools / Technologies: Pandas, NumPy, MatplotLib, ggplot2, Selenium, Docker, Jupyter Notebook Spoken Languages: English (Native), Korean (Native), Spanish (Intermediate Proficiency) PROFESSIONAL EXPERIENCE AND PROJECTS
Dose Error Analysis on Pediatric Melatonin Ingestions, The Data Mine Aug 2022 - May 2023 West Lafayette, IN
● Collaborated with CDC to analyze melatonin product labels to better understand reasons for pediatric melatonin overdose
● Conducted data analysis and visualization of data from NIH dietary supplement database and scraped data using R and Python
● Used NLP and Topic modeling on Amazon and Reddit to study public views on melatonin Optimization of Spatial Intersection Operations on Large Vector Data, I-GUIDE Aug 2023 - May 2024 West Lafayette, IN
● Analyzed spatial flood inundation maps with census block-level socioeconomic indicators
● Implemented optimized workflow for distributed environments through Apache Spark and Sedona
● Compared performance of aging dam analysis on HPC with distributed clusters CAMPUS INVOLVEMENT AND SERVICE
Data Science Teaching Assistant, The Data Mine Aug 2023 - May 2024
● Facilitated student learning in the Data Mine program for 10 hours every week
● Lead office hour sessions for 6 hours a week
Director of Communications and Marketing, Purdue EDM Club Aug 2023 - May 2024
● Designed social media and outreach initiatives for on/off campus engagement
● Facilitated public relations between 32 university fraternities and 7 local businesses
● Managed social media networks and collaboratives spanning 4000+ followers HONORS / AWARDS
● Americorps - President’s Volunteer Service Award
● College Board - AP Scholar with Distinction
RELEVANT COURSEWORK
● Data Structures and Algorithms, Linear Algebra, Discrete Mathematics, Statistics for Data Science