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Fahad Hossain
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Hey, My name is Fahad Hossain

I am a CSE graduate who is willing to take any challenges!

About Me I can describe myself as a fresh graduate who is willing to test his skills in the job industry and gather some experience. I am a fast learner and a team player which is indispensable in the work environment these days. I want to test myself with new challenges and work for the betterment of the organization with my sincerity and perseverance.

Get to know me!

Hey! It's Fahad Hossain and I'm a a CSE graduate from Florida International University.

I am a versatile Data Analyst and Computer Science graduate student at Florida International University, with a strong passion for machine learning, data analysis, and software development. Throughout my career, I have gained hands-on experience using Python, PostgreSQL, and Power BI for data processing and visualization, which has enabled me to deliver valuable insights into career paths for IT and CS students in my role as a Data Analyst. I have led impactful projects, such as achieving 96.57% accuracy in anomaly detection with XGBoost and GRU, and contributing to academic research in machine learning. Additionally, I have developed innovative solutions, including a Calorie Estimation System using CNNs and ResNet for food detection, and a Gunshot Detection API built with Flask for real-time audio analysis. With my diverse technical skills in Python, SQL, PHP, and machine learning, I enjoy bridging the gap between theoretical knowledge and practical applications. I am committed to driving innovation in various fields, from healthcare to public safety, and using my expertise to solve real-world problems. contact me.

My Skills

HTML
CSS
JavaScript
Nodejs
python
sql

Projects

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FoodieCal: A Convolutional Neural Network Based Food Detection and Calorie

A research paper based on CNN, ResNet and Inception V3 where we detected multiple food items from an image and predicted the calories of those items.

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AI-powered Personalized Health Advisor

This project is a web-based AI-powered Personalized Health Advisor built with Python and Flask. It allows users to input their daily health metrics, such as calories burned and water intake, over multiple days, and then generates visualizations to help users track their health progress. The project uses Flask for the web framework, Matplotlib for generating health metric plots, and Bootstrap for a clean and responsive user interface.

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AI-Based Resume Classifier and Job Matching System

This project is an AI-powered resume classifier that matches resumes to job descriptions and provides a similarity score based on how well a candidate's profile aligns with a job posting. The system uses Natural Language Processing (NLP) techniques to analyze and preprocess text from resumes and job descriptions and computes similarity using machine learning methods.

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Gunshot detection model

An ML project using SVM.

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Ponzi scheme detection

This project presents a method to detect Ponzi schemes using a hybrid XGBOOST and GRU model, focusing on Ethereum smart contracts. It leverages features like opcode length, unique opcode count, and total opcode count to identify fraudulent activities. This approach highlights the importance of feature engineering and model complexity in uncovering financial scams.

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Finance tracker

Designed and developed a Python-based personal finance application with features like user authentication, income/expense tracking, budgeting, and real-time alerts for overspending. Integrated data visualizations and CSV export functionality for detailed financial analysis, using SQLite for persistent storage.

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Car Rental System

A php and mysql based group project.

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Turtle Racing Game

The user can play with 8 turtles, and the program will race the 8 turtles by randomly moving them across the screen

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Pong game with python

a pong multyplayer game with two players.

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