Passionate about integrating science and technology to drive innovation and create impactful solutions that benefit humanity.
Skills & Expertise
I love working with Python and SQL to make sense of data. During my internships, I've built some cool dashboards using Tableau that help visualize agricultural data in ways that actually make sense to farmers.
I enjoy combining different tools to solve real problems. Whether it's using simulation tools to study the environment or setting up sensors for data collection, I'm always excited to learn and apply new tech.
I'm good at explaining technical stuff in simple terms. During my time back in Nepal, I helped local farmers understand how to use basic tech tools for better farming, and I really enjoyed being that bridge between tech and its implications.
Tech Student & Problem Solver
Hey! I'm an undergraduate student who's really into using technology to solve environmental and agricultural challenges. I started coding because I wanted to make tools that could help farmers in my community, and that led me down this amazing path of data science and IoT.
Focused on data analysis and web development using Python, SQL, and modern frameworks. Experienced with simulation tools like HEC-RAS and SWAT for environmental modeling. Currently exploring machine learning while building practical solutions for real-world challenges.
Passionate about applying technology to environmental and social challenges. Enjoy breaking down complex problems into manageable solutions. Keen interest in open-source development and sustainable technology applications.
Showcasing My Professional Journey
Exploring Innovation Through Code
A sophisticated Python-based file management system with GUI that helps organize, analyze, and maintain files efficiently. Features include directory analysis, duplicate detection, smart organization suggestions, and backup management.
Developed a retrofuturistic vehicle diagnostics platform that processes real-time engine data through OBD-II protocols, featuring predictive maintenance with 85% accuracy and a unique CRT-inspired interface.
Built an IoT system using Arduino sensors and integrated hardware-software solutions to collect and process real-time environmental data for enhanced agricultural monitoring.
Developed a real-time data visualization dashboard using React.js and Node.js that dynamically displays live sensor data and environmental metrics for immediate insights.
Developed a comprehensive stock analysis platform using Python and machine learning to predict market trends and provide trading insights. Features include real-time data processing, technical indicator analysis, and automated trading signals.
Created a comprehensive data analysis platform using Python and Django by integrating multiple data sources—sensors, APIs, and satellite imagery—to process complex information and present it through clear visualizations.