🟢 AVAILABLE FOR NEW OPPORTUNITIES
DATA SCIENTIST & BI SPECIALIST

Hi, I'm Md Anwarul
Karim

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.

MD Anwarul Karim
AK
3.50 CGPA

About Me

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.

8+ Projects
2+ Years Experience
2 Certifications
PythonSQLPower BI Machine LearningData Visualization NLP

Technical Skills

Programming & Data

Python88%
SQL85%
Pandas / NumPy80%
Scikit-Learn / TensorFlow72%
📊

BI & Visualization

Power BI (DAX)82%
Excel (Dashboards)90%
Looker Studio75%
Figma (UI/UX)70%
🗄️

Database & ML

MySQL / SQLite85%
Machine Learning78%
Deep Learning / NLP70%
Statistics80%
🌐

Web & Other Tools

Flask / HTML / CSS75%
WordPress / Google Sites80%
MS Office Suite92%
Google Sheets / Canva85%

Featured Projects

Click any card to expand full details

01
🏠

AREMS — Real Estate Database

MySQL-based relational database system for real estate management with full lifecycle implementation.

MySQLPythonFlask
Click to expand ↓

AREMS — Real Estate Database System

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.

  • Schema design with foreign key constraints
  • Automated triggers for status updates
  • Flask web app with dark luxury UI
  • Static GitHub Pages deployment
View on GitHub → Click to collapse ↑
02
🤖

Fake News Detection — ML & NLP

Machine learning pipeline to classify real vs. fake news using NLP techniques and deep learning.

PythonNLPTensorFlow
Click to expand ↓

Real & Fake News Detection using ML

Built a complete NLP pipeline using Scikit-Learn and TensorFlow to detect fake news. Applied text preprocessing, TF-IDF vectorization, and classification models.

  • Text preprocessing and feature extraction
  • Multiple ML classifiers compared
  • TensorFlow deep learning model
  • Performance metrics and evaluation
View on GitHub → Click to collapse ↑
03
🍕

PizzaHut Sales Analytics — SQL

Comprehensive sales reporting and analytics using advanced SQL queries on transactional data.

SQLAnalyticsReporting
Click to expand ↓

PizzaHut Sales Report — SQL Analytics

Deep-dive sales analytics project using SQL on PizzaHut transactional data. Covers revenue trends, top-selling items, customer patterns, and time-based analysis.

  • Complex joins and aggregations
  • Window functions and CTEs
  • Revenue trend analysis
  • Customer segmentation queries
View on GitHub → Click to collapse ↑
04
🏪

Supershop Sales Analysis — SQL

Data analysis using SQL applied to supershop sales data for business insights and reporting.

SQLData Analysis
Click to expand ↓

Supershop Sales Analysis

Applied SQL analysis on supershop sales data to uncover actionable business insights, product performance, and sales patterns.

  • Product performance ranking
  • Sales period comparisons
  • Inventory and demand analysis
  • Structured business reporting
View on GitHub → Click to collapse ↑
05
📈

Power BI Sales Dashboard

Interactive Power BI dashboard using DAX measures for KPI tracking and executive sales insights.

Power BIDAXDashboard
Click to expand ↓

Power BI Sales Project

Built an interactive Power BI dashboard with custom DAX calculations for real-time KPI monitoring, trend analysis, and executive-level reporting.

  • Custom DAX measures and KPIs
  • Interactive slicers and filters
  • Sales trend visualizations
  • Executive summary page
View on GitHub → Click to collapse ↑
06
🏙️

Chicago Payroll Data Analysis

Exploratory data analysis on Chicago city payroll dataset using Pandas and NumPy.

PythonPandasNumPy
Click to expand ↓

Chicago Payroll Data — Pandas & NumPy

Comprehensive EDA on Chicago city employee payroll data. Analysed salary distributions, department breakdowns, and workforce patterns using Python.

  • Data cleaning and preprocessing
  • Salary distribution analysis
  • Department-wise breakdowns
  • Statistical summaries
View on GitHub → Click to collapse ↑
07
🛒

Customer Purchase Analysis

Customer behavior analysis and segmentation using Pandas and NumPy for retail insights.

PythonPandasSegmentation
Click to expand ↓

Customer Purchase Data Analysis

Analysed customer purchase patterns to identify behaviour segments, peak buying times, and product preferences using Python data science libraries.

  • Purchase pattern identification
  • Customer segmentation
  • Product affinity analysis
  • Visual reporting with Matplotlib
View on GitHub → Click to collapse ↑
08
📱

Student Reminder App — UI/UX

Full Figma prototype for a mobile student to-do and reminder app with polished UI/UX design.

FigmaUI/UXMobile
Click to expand ↓

Student Reminder To-Do List — UI 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.

  • Full screen-by-screen prototype
  • Component-based design system
  • User flow and navigation
  • Published as Figma Community resource
View on Figma → Click to collapse ↑

Work Experience

IIUM, Malaysia

Web Application Developer

Office of Security Management (OSEM)
  • Developed and maintained a relational database system for IIUM Auxiliary Police.
  • Managed and maintained information records for personnel.
  • Built the information bridge between end-users and the backend database.
  • Performed data transformation and assisted with hardware/software design.
DatabaseWeb DevData Management
Dhaka, Bangladesh

Data Entry Operator

Unique Hospital
  • Accurately entered and maintained patient and operational data into hospital management systems.
  • Ensured data integrity and consistency across records.
  • Supported reporting and administrative workflows.
Data EntryData IntegrityReporting
Freelance

Data Analyst

Self-Directed / Project-Based
  • Created Excel dashboards using pivot tables and advanced formulas for data reporting.
  • Performed SQL-based analytics for PizzaHut and Supershop datasets.
  • Built Power BI dashboards using DAX for KPI tracking.
  • Conducted customer and payroll data analysis with Python.
SQLPower BIPythonExcel

Academic Journey

2026 –
M.Sc. in Data Science & Analytics
East West University
📍 Dhaka, Bangladesh
CGPA: 3.50 / 4.00
2023
B.IT — Business Intelligence & Information Science
International Islamic University Malaysia (IIUM)
📍 Selangor, Malaysia
CGPA: 3.50 / 4.00
2016
Level 5 BTEC HND — Aeronautical Engineering (QCF)
College of Aviation Technology (Catech)
📍 Dhaka, Bangladesh
Pearson Education Limited, UK
2013
Higher Secondary Certificate (HSC)
Cambrian School and College
📍 Dhaka, Bangladesh
GPA: 5.00 / 5.00 ⭐
2011
Secondary School Certificate (SSC)
Dagonbhuiyan Academy
📍 Feni, Bangladesh
GPA: 4.88 / 5.00
🏆
Certifications
Grad Bunker Akaademy
Business Intelligence Data Analyst — Batch B-2315
Interactive Cares
Data Science & ML Career Path — Batch B-03

Get In Touch

Whether it's a project, job opportunity, or just a hello — I'd love to hear from you.

📞
📍
Location
Mugdapara, Dhaka, Bangladesh
🌐
Language
English (IELTS 6.5)  ·  Bangla (Native)
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