ABOUT
ME
I am a tech-driven environmental innovator with expertise in Machine Learning, Data Science, and Full-Stack Web Development, blending technology with sustainability-focused research. My work bridges the gap between environmental science and computational solutions, using advanced tools to solve real-world challenges.
TECHNICAL
SKILLS
Programming & Development
- Python (Pandas, Numpy, Matplotlib, Seaborn)
- HTML, CSS, JavaScript, TypeScript Tailwind CSS
- ReactJS, NextJS, NodeJS, ExpressJS (CSR, SSR, RSC concepts)
- MySQL, MongoDB database management and queries
Data Science & Machine Learning
- Exploratory Data Analysis (EDA)
- Feature Engineering
- Predictive Modeling with ML/DL techniques
- Environmental data processing from satellite sources
Design & Visualization
- Adobe Photoshop, Adobe Illustrator (graphic design & branding)
- Data visualization and dashboard creation
- Figma, Canva for UI and Graphic Design
PROJECTS
& WORKS
EnvoBrick - Environmental Bricks
Developed a sustainable brick concept aimed at reducing environmental impact. Conducted hands-on tests like water absorption, T-shape fall strength testing, and acoustic quality checks.
LST Prediction for Keraniganj, Bangladesh
Built a data-driven approach to predict Land Surface Temperature using ML/DL. Utilized NDVI, NDBI, MNDWI, and other indices from 30 years of satellite data for predictive modeling.
NextJS & ReactJS Applications
Created interactive web interfaces with optimized image handling, dynamic routing, and server-client component integration.
Data Analysis Projects
Performed statistical and graphical analysis on environmental datasets, generating insights for research and reporting.
PROFESSIONAL
DIRECTION
I aim to become an AI/ML Engineer, applying computational techniques to environmental and climate challenges. My approach combines coding, data science, and domain expertise to create impactful, sustainable solutions.