I am a passionate developer with a growing expertise in machine learning and data science. I thrive on solving real-world problems using technology, particularly in areas that require intelligent data-driven solutions. My interests span across IoT, remote sensing, and AI, and I enjoy working on innovative projects that combine these fields.

Skills

Machine Learning: Experienced in developing models, including regression and advanced algorithms.

Data Analysis: Skilled in using data for prediction and decision-making.

IoT & Remote Sensing: Have hands-on experience integrating sensor data with machine learning for real-time applications.

Projects

Early Warning System for Glacial Lake Outburst Floods (GLOFs): Developed a machine learning-based system using regression models to predict the risk of GLOFs, integrating remote sensing data and IoT sensors to improve flood forecasting and safety measures.

Temperature Prediction Model: Built a machine learning model to predict average city temperatures based on geographic and weather data from neighboring cities, exploring the potential of leveraging data for accurate weather forecasting.

Codes/Code files are available on Github.
https://github.com/NeatSleep?tab=repositories