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লা ইলাহা ইল্লাল্লাহু মুহাম্মাদুর রাসুলুল্লাহ (সঃ) La Ilaha Illallah Muhammadur Rasulullah لَا إِلٰهَ إِلَّا ٱلله مُحَمَّدٌ رَسُولُ ٱلله.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
student-management-rest-api
June 23, 2026 – Present
Student Management REST API built with FastAPI, PostgreSQL, SQLAlchemy, and JWT Authentication for secure student record management.
View ProjectDecodeLabs-Internship
June 20, 2026 – Present
This is the 1 month Internship offered by Decodelab
View ProjectEmail-Generation-Assistant
June 19, 2026 – Present
AI-powered Email Generation Assistant built with Python, Streamlit, and Gemini API. Generates professional emails from user intent, key facts, and tone using advanced prompt engineering (Role-Playing + Chain-of-Thought), with custom evaluation metrics and model comparison.
View ProjectDiabetes-Data-Analysis
June 12, 2026 – Present
This is the normal Data Analysis using panda and numpy
View ProjectButterfly-Classification
June 8, 2026 – Present
A deep learning-based image classification project that automatically identifies and classifies different butterfly species from images. This project leverages Convolutional Neural Networks (CNNs) and computer vision techniques to extract visual features and accurately predict butterfly categories.
View ProjectInsurance-Fraud-Detection
May 17, 2026 – Present
A machine learning web app that detects fraudulent insurance claims using Random Forest with SMOTE for class imbalance, achieving 84% AUC-ROC. Built with Python and deployed via Streamlit.
View ProjectChurnSense
May 16, 2026 – Present
ML-powered bank customer churn prediction app built with Random Forest, FastAPI, and React.
View ProjectMovie-Recommendation-System
May 16, 2026 – Present
Movie Recommendation System using Content-Based (TF-IDF + Cosine Similarity), Collaborative Filtering (SVD + KNN), and Hybrid approach on MovieLens dataset (10K+ movies, 105K+ ratings). Evaluated with RMSE.
View ProjectDisease-Prediction-System
May 16, 2026 – Present
AI-powered weather forecasting system using SARIMA, LSTM, Hybrid SARIMA-LSTM, and Random Forest models for temperature and rainfall prediction in Bangladesh.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on personal projects, indicating self-motivation and a passion for learning and applying data science concepts. The diversity of projects (ML, DL, NLP, web apps) suggests adaptability and a broad interest in the field. However, without information on team collaboration or professional experience, a comprehensive cultural fit assessment is limited. The experience level is listed as 0, which might indicate a lack of professional work experience, potentially impacting immediate cultural integration into a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.