I’m a Computer Science graduate transitioning from full-stack development into data science and machine learning. I enjoy building, learning, and exploring how data and technology can solve real-world problems in meaningful ways.
My background includes hands-on experience with the MERN stack and Flutter, along with an AWS Solutions Architect certification. I am currently focused on strengthening my skills in Python, statistics, data analysis, and machine learning.
I’m especially interested in building systems that are not just functional, but data-driven, scalable, and impactful.
As someone growing in tech, I also care deeply about increasing representation of women in STEM and contributing to a more inclusive and supportive tech ecosystem.
Outside of coding, I enjoy learning new tools, experimenting with ideas, traveling, and spending time with family and friends. I believe curiosity outside of tech is just as important as curiosity inside it.
- Python for Data Science
- Statistics & Probability
- Machine Learning Fundamentals
- Data Analysis & Visualization
- Languages: Python, JavaScript, Java, TypeScript
- Backend & Web: Node.js, Express.js, React.js
- Databases: MongoDB, MySQL
- Other Tools: Flutter, Figma, AWS (Solutions Architect)
Feel free to check out my repositories and get in touch! 😊


