Data Science A Team

Jennie Kang

765-***-**** *******@******.*** https://www.linkedin.com/in/jennie-kang-2459742bb

EDUCATION

Purdue University West Lafayette, Indiana, United States

****-****

Bachelor of Science in Data Science

Relative Courses: Programing 1, Foundation of Computer Science, Introduce to Data Science, Statistics of Data Science, Data Structure

PROJECT EXPERIENCE

Marketing Jan.2023 -May.2023

In this project, I worked with a team to develop a basic shopping model aimed at improving the online shopping experience. We focused on incorporating fundamental features like sorting, searching, and managing a shopping cart. Through this project, I learned how to translate user needs into functional features and gained experience in iterative design and teamwork. This project helped me understand the importance of user feedback and how to implement practical solutions to enhance user experience.

Student Online Courses Sep.2023 -Nov.2023

During this project, my team and I analyzed data from online courses to understand why some students completed the courses without achieving high grades. We examined quiz and exam results and collaborated to identify patterns and potential issues. This experience taught me how to perform data-driven analysis and work collaboratively to develop recommendations. I learned valuable lessons in how to interpret educational data and apply insights to improve course effectiveness and student performance.

Car data Jan.2023 -May.2023

In this project, I was part of a team that compared engineering data with model specifications to identify discrepancies in auto parts. Our task involved analyzing data to spot issues and communicating findings back to the engineering team. This project provided me with practical experience in data analysis and the importance of clear communication within a team. I learned how to handle technical data and contribute to quality control processes, which enhanced my analytical and collaborative skills.

Chicago crime

Utilized R and Python to analyze crime patterns in Chicago, identifying trends based on time, location, and possible contributing factors. Conducted statistical analysis and data visualization to determine when and why crimes occur, providing insights for potential prevention strategies.

Weekly Nutrition Analysis

Applied data science techniques to track and analyze daily food intake, assessing nutritional balance and overall health impact. Used Python and R for data collection, processing, and visualization, generating reports to evaluate dietary habits and provide data-driven health insights.

EXTRACURRICULAR COMPETITIONS

ASA DataFest: Earned the Best Storyteller certification by analyzing complex datasets and presenting compelling data-driven narratives.

InnovateHer: Actively contributed to innovative problem-solving, applying data science skills to develop impactful solutions.

Coursera - Google Data Analytics Certificate: Gained hands-on experience in data cleaning, visualization, and analysis using SQL, R, and Tableau.

Coursera - Data Programming and Software Engineering Fundamentals: Developed foundational programming and software engineering skills for data-driven applications.

Coursera - Python for Everybody: Strengthened Python programming skills, focusing on data manipulation, analysis, and automation.

LEADERSHIP AND EXTRACURRICULAR ACTIVITIES

A2F

Help them to tabling and organize the student welcome night.

Results: Finish more than 500 flyers during3 hours.

Volunteer

Help teach autistic children

Tutor children with their homework

Participate in donations for children in poor areas

SKILLS

Data analyze, team working, pressure resistance, data visualization, most of Microsoft tools, Python, Java, R.

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