I am a data enthusiast and self-taught developer in Bangladesh with a strong foundation in Python for data analysis, leveraging libraries like Pandas and NumPy to process and interpret datasets. I am fluent in English and Bangla, and possess basic Japanese language skills. My goal is to apply my analytical and communication skills to create robust, data-driven solutions and contribute to projects that require a keen eye for detail and a clear understanding of information.

• B.Sc. in Statistics and Data Science | Islamic University, Kushtia (2025–Present)
  • Key Courses: Introduction to Statistics and Data Science, Computer Fundamentals and Task Oriented Software, Data Analysis Using MS Excel and Minitab, Elementary Probability
• 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

• Open to Discussion On:
  • Effective Data Storytelling: How to create compelling visualizations and narratives that communicate complex data insights to a non-technical audience.
  • The MLOps Lifecycle for Beginners: Discussing the practical steps involved in taking a machine learning model from a jupyter notebook to a deployable application.
  • Best Practices in Data Cleaning: Sharing tips and techniques for handling real-world, messy datasets and ensuring data integrity.

• Currently Working On:

  • Customer Churn Analysis: Applying Pandas and Matplotlib to a real-world dataset to identify key factors influencing customer attrition and build a comprehensive report.
  • Sales Forecasting: Using time-series analysis techniques to predict future sales, showcasing my ability to handle time-based data and generate actionable business insights.
  • Exploratory Data Analysis (EDA) on a public dataset (e.g., Kaggle): Focused on cleaning messy data, handling missing values, and generating visualizations to uncover hidden patterns and trends.

• Currently Learning:

  • Core Machine Learning Concepts: Diving deep into the theory behind supervised (e.g., Linear Regression, Logistic Regression, Decision Trees) and unsupervised (e.g., K-Means Clustering) learning algorithms.
  • Statistical Analysis: Gaining a deeper understanding of probability, hypothesis testing, and statistical significance to ensure my data-driven conclusions are robust and reliable.
  • Data Analysis and Preprocessing: Mastering advanced techniques for data cleaning, feature engineering, and dimensionality reduction to prepare datasets for modeling.

• LinkVault - Enhanced Bookmark Manager: A modern, client-side web application for organizing and managing web links with drag-and-drop reordering, intelligent data fetching, and flexible import/export options. Built with HTML, CSS, JavaScript, and Local Storage.

• Kana Learning - Japanese Kana Trainer: An interactive web application designed to help users learn and practice Japanese Hiragana and Katakana characters. Features include character drills, quizzes, and progress tracking.

• Kanji Tool - Kanji Learning Tool: A web-based tool for exploring and learning Japanese Kanji which provides a clean, searchable, and filterable interface to a comprehensive database of over 13,000 Kanji characters.

• Word-Explorer - Vocabulary Checker Website: This Website provides detailed word information (definitions, synonyms, antonyms, pronunciation) and AI-powered content (stories, usage tips, quizzes, etymology, translations, word families, idioms, collocations). Users can also save and manage vocabulary lists for future reference.

• Zenith_Tracker - Personalized Habit and Mood Tracker: A web application designed to empower individuals in their journey towards holistic well-being. This intuitive tool helps users seamlessly track and improve essential aspects of their daily lives, including mood, habits, hydration, and sleep, by providing personalized insights and actionable recommendations.