Junior Machine Learning
Motivated software engineering student with a strong interest in applying data science, machine learning, and web development to the field of bioinformatics. Committed to expanding my expertise in both software development and biological research, particularly in leveraging machine learning to unlock new biological insights. Eager to contribute to an innovative team tackling challenging problems in the life sciences. Seeking to make a meaningful impact through research and development within a progressive organization.
I've built a strong foundation in web development, with experience in HTML, CSS, JavaScript, and frameworks like Bootstrap. This has allowed me to create engaging applications across various companies. Here are some of the highlights: a user-friendly COVID-19 dashboard, responsive login forms, interactive product cards, and even a live to-do list app.
My interest in data science is also evident through my internship experience at The Spark Foundation. There, I delved into data analysis tasks, explored machine learning techniques, and even contributed to educational insights. This combination of web development skills and data science exploration allows me to approach problems from a well-rounded perspective.
