Hello, I'm a
Turning Data into Insights
Second semester Data Science student at PUCIT, passionate about machine learning, statistical analysis, and building intelligent agents. Currently exploring the intersection of data science and AI automation.
Second semester Data Science student at PUCIT, passionate about machine learning, statistical analysis, and building intelligent agents. Currently exploring the intersection of data science and AI automation.
I'm currently pursuing Data Science at PUCIT, where I'm building a strong foundation in statistical analysis, machine learning, and data visualization. My passion lies in extracting meaningful insights from complex datasets and creating intelligent solutions.
Beyond traditional data science, I'm actively exploring the world of AI agents and automation. I believe the future of data science lies in building systems that can not only analyze data but also act on insights autonomously.
My goal is to bridge the gap between data analysis and practical applications, creating solutions that make a real impact in various industries.
Core programming language for data science
NumPy, Pandas for data manipulation
Matplotlib, Plotly for insights
OpenAI SDK, intelligent automation
Systems programming & algorithms
Docker, FastAPI (Learning)
Pursuing comprehensive education in data science fundamentals, statistical analysis, machine learning algorithms, and practical applications. Currently building strong foundations in mathematics, programming, and data visualization.
Mastered Python for data science applications, including NumPy for numerical computing, Pandas for data manipulation, and Matplotlib for creating insightful visualizations. Also proficient in C++ for algorithmic problem-solving.
Actively learning OpenAI Agents SDK to build intelligent automation systems. Exploring the integration of AI agents with data science workflows to create autonomous data analysis solutions.
Planning to master Docker for containerization and FastAPI for building robust data science APIs. Focus on creating scalable, production-ready data science applications.
Comprehensive statistical research analyzing how different scheduling styles (Fixed, Flexible, Hybrid) affect student productivity, satisfaction, and well-being. Surveyed 150+ students and applied rigorous statistical testing to uncover actionable insights for academic institutions.
Conversational AI agent built with OpenAI tools, Chainlit, and FastAPI to support intelligent workflows. Features natural language processing capabilities and automated task execution for enhanced productivity.
Complete recreation of std::string in C++ with advanced memory management and operator overloading. Demonstrates deep understanding of system-level programming and efficient resource handling.
Command-line implementation of the classic game featuring clean object-oriented design, game state management, and user interaction handling. Showcases fundamental programming concepts and algorithm implementation.
I'm always interested in discussing data science projects, AI agents, or collaboration opportunities. Feel free to reach out!