Tofa Hossain

ABOUT ME

I'm a master's student passionate about building interactive and creative applications. I love breaking down complex ideas and turning them into elegant, intuitive visuals. My curiosity keeps me exploring new technologies, ensuring I create meaningful and reliable solutions.

I have experience with JavaScript, Python, React, Next.js, Node.js, and MongoDB. Lately, I’ve been diving into Next.js and PostgreSQL for side projects. Moving forward, I’m eager to deepen my skills in data analysis and frontend development.

When I’m not coding, you’ll probably find me gaming, lost in a book, solving puzzles, or off on some random adventure.

SKILLS - AT A GLANCE

Frontend	JavaScript, React-Native, NextJS, HTML, CSS, Tailwind
Backend	NodeJS, Python, FastAPI, ExpressJS
Tools	Git, Figma, Canva, MongoDB
Frameworks and libraries	Streamlit, Seaborn, Matplotlib, D3.js, Plotly, LangChain

Resume ↗

EXPERIENCES

Idee Digital

November 2024 - Present

Web Developer Part-Time

Developed an Admin panel with CRUD functionalities using NextJS, AWS Lambda and DynamoDB. Developed an external payment page to receive charitable donations

NextJS AWS Lambda DynamoDB React

Banglalink

June 2023 – Sept 2023

Service Assurance Management Intern

Generated daily, weekly, and monthly reports. Automated data cleaning using Pandas, improving retrieval speed by 25%. Resolved over 800+ customer concerns nationwide in just 3 months.

Python Pandas Excel MS Office

PROJECTS

Netflix Interactive (Data Visualization)

Comprehensive analysis of Netflix’s content trends and recommendation patterns. Interactive and static visualizations for data-driven insights.

JavaScript
Matplotlib
D3.js
Plotly

Stock Trading Simulation( Software Engineering)

Real-time stock data integration game with trading and portfolio management. Analytics dashboards with performance visualization and leaderboard tracking. Secure authentication, customizable game creation, and transaction history.

Node.js
EJS
MongoDB

Legal Document Query System (Data Mining)

Integrated a RAG pipeline to retrieve and process relevant legal documents for accurate query responses. Implemented Legal-BERT and OpenAI models for legal query responses to evaluate performance. Conducted comparative analysis using BLEU score to evaluate the accuracy and contextual relevance of model outputs. Developed a Streamlit-based user interface for seamless interaction and real-time query processing.

Python
Streamlit
LangChain
OpenAI

ToDone

A simple modern Todo List application built with React, Express.js, and a dark theme UI. Features real-time updates and persistent storage.

React
JavaScript
Express.js
Node.js

Personal Portfolio

This portfolio website was built with HTML, Tailwind CSS and vanilla JavaScript. It showcases my projects, experiences, and skills in a clean and minimalistic design.