I am a passionate Data Analytics and Machine Learning student with a strong interest in turning raw data into meaningful insights. I enjoy working with data to identify patterns, analyze trends, and support data-driven decision making.
I have hands-on experience in data analytics, including data cleaning, visualization, and basic machine learning models. Along with analytics, I also have an interest in frontend development, which helps me present data insights through interactive and user-friendly interfaces.
I am skilled in Python, SQL, and Tableau, and I use these tools to analyze datasets, build dashboards, and communicate results effectively. I am continuously learning and improving my knowledge in machine learning, data visualization, and web technologies to build practical and impactful projects.
Focused on Data Analytics, Data Structures & Algorithms, Operating Systems, Python Programming, and Artificial Intelligence. Building a strong foundation in computer science with practical applications in data-driven technologies.
Completed PCMB (Physics, Chemistry, Mathematics, Biology) with a strong emphasis on Mathematics, developing analytical and problem-solving skills that form the foundation for data science and machine learning.
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Responsible AI
Introduction to LLM
Gen AI
Cloud Computing
Data Warehouse
Data Analytics
Frontend Development