I don't just analyze data; I build full applications to solve actual problems.
My background in Statistics and Data Science gives me a strong mathematical foundation and
Advanced Programming Knowledge, and my problem solving skills let me build the solution.
I focus on Python for backend/data and JavaScript for frontend.
| Domain | Technologies |
|---|---|
| Data Science | Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn |
| Web Backend | Django, Flask, FastAPI |
| Programming Language | Python, C++, C#, JavaScript |
| Web Frontend | JavaScript, HTML5, CSS3, Tailwind |
| Database | MySQL, PostgreSQL, SQLite |
| Tools | Git, Docker, Jupyter Notebooks |
Issuer: Islamic University Science Club (IUSC) & StatX
Date: October 2023
Registered by: Ministry of Science and Technology
- Scope: Completed an 14-days intensive hands-on training program focused on practical data analysis.
- Key Skills: Applied statistical methods, dataset management, and output interpretation using SPSS.
- B.Sc. in Statistics and Data Science | Islamic University, Kushtia (2025–Present)
- Key Courses: Data Analysis, Machine Learning, Artificial Intellegence, Advanced Python Programming
- Higher Secondary Certificate (HSC) | Dhaka Imperial College, Dhaka (2023–2025)
- GPA: 5.00/5.00
- Secondary School Certificate (SSC) | National Ideal School, Dhaka (2020–2022)
- GPA: 5.00/5.00
The Problem: Generic health apps store data but lack correlation.
The Solution: A personalized dashboard that connects the dots between mood, hydration, and sleep cycles.
- Core Logic: Implements custom data visualization to reveal biological rhythm trends.
- Architecture: Scalable Django backend with interactive JS frontend.
The Problem: Rote memorization of vocabulary rarely leads to retention.
The Solution: An AI-driven tool that embeds new words into dynamic stories and quizzes, forcing active recall through context.
- Core Logic: Uses Natural Language Processing to generate unique usage scenarios for every search.
- Impact: Transforms static dictionary definitions into an interactive learning experience.
The Problem: Searching through thousands of complex logographic characters is slow and cumbersome.
The Solution: A heavily optimized search interface for 13,000+ characters with instant filtering capabilities.
- Core Logic: Implements advanced search algorithms to handle large-scale dataset filtering in real-time.
- Performance: Zero-latency lookup for complex character sets.
The Problem: Browser bookmarks are cluttered and difficult to organize visually.
The Solution: A drag-and-drop interface offering complete control over your digital resources without server reliance.
- Core Logic: Client-side persistence architecture ensures data privacy and offline accessibility.
- UX Design: Modern grid layout with intuitive drag-and-drop organization.
Thanks for visiting. If you want to discuss Machine Learning, Artificial Intelligence, Natural Language Processing or Python, C++ development, feel free to Email me.
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