About Me

👋 Hi, I’m Minju Kim, a Research Data Analyst at the Cognitive Development Lab in the Psychological and Brain Sciences Department at Indiana University Bloomington. I am currently in my final semester of MS in Data Science at the Luddy School of Informatics, Computing, and Engineering at IUB.

My Journey into Data Science

My path into the world of data science wasn’t traditional. I started with a Business Administration background, gaining a deep understanding of how businesses operate from strategy to execution. While working as a marketing intern in South Korea, I realized how AI and data-driven decision-making were transforming industries. This sparked my curiosity—how do machines learn? How do they see and understand the world?

Determined to explore these questions, I pursued a Master's in Data Science, immersing myself in Machine Learning, Computer Vision, NLP, and Scientific Visualization. My research now focuses on how infants learn to see and process the world with limited visual data, drawing parallels to how AI models perceive and interpret their surroundings.

My Passion for AI & Responsible Innovation

For me, working with AI feels like magic—just as Arthur C. Clarke said, "Any sufficiently advanced technology is indistinguishable from magic." Witnessing machines learn, recognize patterns, and make sense of data is fascinating. But with this magic comes responsibility. I aim to contribute to AI research that enhances human lives while ensuring ethical and thoughtful implementation.

With a strong foundation in data science and AI, I am eager to tackle real-world challenges, develop impactful AI solutions, and push the boundaries of what technology can achieve. If this resonates with you, let’s connect and collaborate! 

Technical Skills

Programming: 

Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch), SQL, R, HTML, CSS

Tools: 

MongoDB, Cassandra, Neo4j, Snowflake, PowerBI, ParaView, Gephi, Tableau, Google Data Studio (Looker), 

Microsoft Office (Power Query), Google Analytics

Experience

Research Data Analyst   May 2024 – Present

Cognitive Development Lab, IU Psychological & Brain Sciences Bloomington, IN

• Conduct exploratory data analysis (EDA) on 100,000 head camera images from infants (US & India), investigating

correlations between edge sparsity, dominant orientation, RMS contrast, and amplitude by spatial frequency slope.

• Analyze image data using GIST descriptors for edge orientation, spatial frequency, and contrast, while applying

feature congestion techniques to assess visual clutter.

• Collaborate effectively in weekly lab meetings, sharing insights, and communicating complex data findings.

Graduate Teaching Assistant   Jun. 2024 – Jul. 2024

Luddy School of Informatics, Computing, and Engineering    Bloomington, IN

• Taught Python, Arduino, HTML, CSS, Java, and Earsketch to 28 students, most with no prior CS experience,

through daily lab sessions.

• Held daily online and in-person office hours, providing guidance on programming tasks, problem-solving, and

computational thinking for daily assignments and the final project.

Apple Siri Data Annotator  May 2023 – Jun. 2023

BeyondTech   Seoul, Korea

• Enhanced Apple Siri’s language cabilities for the Korean market by annotating over 370 data points daily.

• Authored engaging and realistic simulated dialogues for a conversational AI assistant.

Korean Marketing Intern    Jul. 2020 – Aug. 2020 

Migung365      Seoul, Korea

• Led the online diet challenge strategically, and managed the website community for increased customer engagement.

• Created social media content and developed advertising copy for new product promotion in the health food category.

Education & More

Indiana University Bloomington                                                                                                                                         Bloomington, IN

Master of Science in Data Science – Applied Data Science                                                             Aug. 2023 – Expected May. 2025

•        Relevant Courses: Machine Learning, Computer Vision, Natural Language Processing, Database, Statistics, 

Scientific Visualization, Information Visualization, Data Mining, Social Media Mining

•        CGPA: 3.769 / 4.0

Konkuk University                                                                                                                                                                       Seoul, Korea

Bachelor of Business Administration (transferred as a junior)                                                                              Mar. 2018 – Feb. 2021

•        Relevant Courses: Environmental Analysis, Marketing, Marketing Research, Advertising

•        CGPA: 3.72 / 4.5

Projects

Get In Touch

Contact Me:

minjukim023@gamil.com

LinkedIn