JASMINE
EYAL
Applied data Analysis and Computer science
Hi, I’m Jasmine.
I’m a passionate and curious data science and computer programming student with experience in
Python, Java, p5.js, R, and SQL. I've been fortunate to work with several organizations to apply my
programming and data analytics skills.
When I'm not working, I’m usually at a trampoline gym, where I recently achieved the Guinness World
Record for Most Backwards Tucks On a Trampoline In One Minute!
EDUCATION
Python Institute
- PCEP™ Certified Entry-Level Python Programmer
CHOICE ACADEMY
- AP® Computer Science A in Java
- Computational Media in p5.js
- College Statistics
- AP® Calculus
Google and Coursera
- Data Analytics Certification – spreadsheets, SQL, Tableau, and R
Python and p5.js Tutor
- Utilize clear communication to explain complex concepts of Python and p5.js in order to teach students of all ages
Modulo
Python Data Analyst
- Utilized Python and prompt engineering to analyze a large dataset of Instagram account information
Synthesis
AI-Driven Instagram User Classification
Python | GPT-3 | Prompt Engineering | Google Colab | Data Analysis
Challenge: Create a model to determine the primary cohort of a trend on Instagram
- Improved the classification model’s overall accuracy by 10% through prompt engineering
- Scaled the model to a sample size of 500 while maintaining consistent accuracy
FITNESS Tracker Case Study
R Programming | Data Cleaning | Data Analysis | Data Visualization
Challenge: Identify opportunities for growth for fitness tracker company using large customer data sets including sleep, activity, stress, and habits
Analysis of Top 250 Movies
Python | Web Scraping | Data Cleaning | Data Visualization | R Programming
Challenge: Scrape data set of the top 250 movies on IMDb to extract insights over the years.
- Histogram revealed that the last 25 years produced a higher number of Top 250 Movies than any other 25 year period