Grace Ghai

I’m an aspiring data analyst driven by one thing: a problem waiting to be solved. Every project I’ve worked on has started with messy, unclear information—and I’ve enjoyed turning it into insights people can actually use.

In my Data Science Intern role at CodeVida, I cleaned and organized datasets to improve accuracy and support reliable analysis. I used Python and SQL to analyze data, identify trends, answer business questions, and generate summaries and visual insights that informed team decisions.

Through the Women Techsters Fellowship and DataCamp, I built a practical foundation across Python, SQL, data analysis, statistics, data visualization, and machine learning fundamentals. I also pursued certifications like IBM Data Science Foundations and Kaggle Intro to Machine Learning to keep learning in a structured way.

Whether I’m collaborating on projects like building features that improve access to healthcare information, or practicing clean Python scripts for real-world problems, I focus on data quality, clear communication, and teamwork. I’m looking for opportunities where I can keep learning while contributing analysis that supports real outcomes.