Self-Taught Data Science Enthusiast | Python Developer | Machine Learning Explorer
Curiosity sparked my journey — determination fuels it. With 2+ years of hands-on experience in data manipulation, machine learning, and backend development, I’ve built a solid foundation outside the traditional classroom.
I specialise in transforming raw data into actionable insights using Python, Pandas, NumPy, and Matplotlib, while designing RESTful APIs and exploring cloud platforms like AWS and Google Cloud. Currently pursuing the IBM Data Science Professional Certificate, I’m deepening my expertise and gaining formal credentials.
I actively explore IoT applications, big data technologies (Hadoop, Spark), and real-world use cases — from recommendation systems to smart logistics. Whether it’s visualising trends, building predictive models, or scraping web data to monitor markets, I thrive at the intersection of innovation and impact.
Next goal: Transition into a data science role where I can apply my skills to help organisations make smarter, data-driven decisions.