Software engineer and data science enthusiast with experience building fullstack applications and developing data driven solutions. I have worked on machine learning and data analysis projects, including spatial rainfall data visualization and AI-assisted platforms, alongside building scalable web and mobile applications using technologies such as React, Flutter, Go, and Python. I also contribute to developer communities through teaching and mentoring, where I have delivered frontend development sessions and created technical learning materials. My interests lie in applying machine learning, data analysis, and distributed systems to build intelligent, real world products.
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Developed a cross-platform talent discovery app using Flutter with API integration for real time data and seamless user experience.
Developed a data-driven stock clustering system using K-Means to group companies based on key financial indicators (ROE, P/ E ratio, volatility, EPS, cash flow). Applied the Elbow Method to determine the optimal number of clusters and visualized insights through heatmaps, enabling data-backed investment profiling and decision-making.
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