A results-driven Data Scientist & Analyst seeking a position as a Business Intelligence Analyst. Currently pursuing a Master's in Data Science at East West University.
I am a highly motivated Data Scientist and Business Intelligence Analyst based in Dhaka, Bangladesh. With a Bachelor's degree in Business Intelligence from IIUM Malaysia and currently pursuing my Master's in Data Science at East West University, I bring both academic depth and hands-on project experience.
My passion lies in turning raw data into actionable insights — whether through machine learning models, interactive dashboards, or robust database systems. I thrive at the intersection of data, technology, and business strategy.
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MySQL-based relational database system for real estate management with full lifecycle implementation.
A comprehensive MySQL relational database for managing real estate properties, agents, clients, transactions, and payments. Includes triggers, stored procedures, and a Flask-based demo web application.
Machine learning pipeline to classify real vs. fake news using NLP techniques and deep learning.
Built a complete NLP pipeline using Scikit-Learn and TensorFlow to detect fake news. Applied text preprocessing, TF-IDF vectorization, and classification models.
Comprehensive sales reporting and analytics using advanced SQL queries on transactional data.
Deep-dive sales analytics project using SQL on PizzaHut transactional data. Covers revenue trends, top-selling items, customer patterns, and time-based analysis.
Data analysis using SQL applied to supershop sales data for business insights and reporting.
Applied SQL analysis on supershop sales data to uncover actionable business insights, product performance, and sales patterns.
Interactive Power BI dashboard using DAX measures for KPI tracking and executive sales insights.
Built an interactive Power BI dashboard with custom DAX calculations for real-time KPI monitoring, trend analysis, and executive-level reporting.
Exploratory data analysis on Chicago city payroll dataset using Pandas and NumPy.
Comprehensive EDA on Chicago city employee payroll data. Analysed salary distributions, department breakdowns, and workforce patterns using Python.
Customer behavior analysis and segmentation using Pandas and NumPy for retail insights.
Analysed customer purchase patterns to identify behaviour segments, peak buying times, and product preferences using Python data science libraries.
Full Figma prototype for a mobile student to-do and reminder app with polished UI/UX design.
Designed a full mobile app UI/UX prototype in Figma for a student productivity app. Includes task management, reminders, and clean modern interface design.
Whether it's a project, job opportunity, or just a hello — I'd love to hear from you.