I analyze data with Python and cloud tools, build reports, and apply research methods from internships at Beats by Dre and National Geographic.
Projects include a Beats by Dre externship on consumer behavior and a data cleaning project using Python, pandas, and SciPy to prepare datasets for analysis.
Beats By Dre · Jan 2025 · ✅ Verified by Extern
Learn how to understand consumer behavior, design surveys, and use AI tools to analyze data. Develop skills in research and data analysis that are valuable for careers in marketing, product development, and more.
Cleaned, refined, corrected, and organized a dataset using Python, Pandas, and SciPy. Applied data manipulation and preprocessing techniques to improve the structure, consistency, and usability of the dataset. Used Python programming functions and data science libraries to transform and organize raw data. Performed data quality checks to ensure the resulting dataset met project requirements.
I analyze data with Python and cloud tools, build reports, and apply research methods from internships at Beats by Dre and National Geographic.
I am Semi Adesanya, a Data science major at Georgia State University. I combine coursework with practical experience in data analysis, market research, conservation project management, and HR support. I work with Python, pandas, machine learning fundamentals, cloud tools, and data visualization to turn messy data into clear, usable insights.
Externships
Beats by Dre Consumer Behavior & Market Analysis Externship
Completed · Jan 2025
Experience
Student Assistant
Perimeter College Recreation Center · Jul 2025 – Present
Customer Behavior & Market Analysis Intern
Beats by Dre · Dec 2024 – Feb 2025
Conservation Project Manager Intern
National Geographic Society · Jul 2024 – Sept 2024
Human Resources Intern
Thels Impact Consulting · Aug 2023 – Feb 2024
Education
Georgia State University, Atlanta, GA
Bachelor of Science in Data Science · Class of 2028
Perimeter College at Georgia State University, Atlanta, GA
Associate of Science in Computer Science · Class of 2026
Skills
✅ Verified by Extern
Learn how to understand consumer behavior, design surveys, and use AI tools to analyze data. Develop skills in research and data analysis that are valuable for careers in marketing, product development, and more.
This externship produced a set of consumer-research artifacts including segment profiles, a 20+ question survey, cleaned survey response extracts, quantitative analyses with visualizations, and an AI-assisted slide deck and dashboard. Work covered survey design, descriptive and correlation analysis, qualitative interpretation, and building presentation materials.
I produced five consumer segment profiles, a 20+ question survey and research prompt set, a cleaned extract of survey responses with quantitative summaries and correlation checks, Google Sheets visualizations, and an AI-assisted slide deck and Claude dashboard with deliverable links.
Cleaned, refined, corrected, and organized a dataset using Python, Pandas, and SciPy. Applied data manipulation and preprocessing techniques to improve the structure, consistency, and usability of the dataset. Used Python programming functions and data science libraries to transform and organize raw data. Performed data quality checks to ensure the resulting dataset met project requirements.