Professional Summary
I am a Business Intelligence MSc student with a strong interest in data analytics and consulting. Skilled in Power BI, Python, R, SQL, Power Pivot, and dashboarding tools. I enjoy transforming complex data into clear, actionable insights. I aim to contribute to client-focused teams by supporting data-driven solutions with the goal of delivering data-driven strategies that uncover opportunities, solve complex problems, and produce measurable impact.
Work History
TV Hut & Electronics
Management Trainee Officer | 2023 - 2024
Supported e-commerce operations for a home appliance retailer by assisting in inventory management, customer service coordination, and digital sales reporting. Contributed to optimizing order fulfillment processes and enhancing customer experience through data-informed insights and operational support.
United International University
Teaching & Research Assistant | 2022 - 2023
Assisted in teaching undergraduate courses in Management Information Systems, providing support in course material preparation, student assessments, and research projects. Contributed to academic research by analyzing data sets and preparing reports on findings, enhancing the learning experience for students through effective communication and collaboration.
Education
MSc in Business Intelligence
Aarhus University, Denmark | September, 2024 - July, 2026
Gaining in-depth knowledge of data analysis, predictive modeling, business strategy, and data-driven decision-making. The program emphasizes hands-on learning with tools such as, R, SQL, and MS Excel to solve real-world business challenges. Coursework includes machine learning, data visualization, advanced analytics, and applied business intelligence projects.
BBA in Management Information System
International University, Bangladesh | May, 2018 - August, 2022
Graduated with Magna Cum Laude (CGPA: 3.80/4.00)
Built a strong foundation in business processes, IT systems, and data-driven decision-making through coursework in database design, systems analysis, and enterprise applications. Successfully completed a final-year research project titled “Post-COVID Psychological Analysis through NLP,” applying natural language processing techniques to identify sentiment patterns in textual data. Recognized for academic excellence with Magna Cum Laude distinction.
Skills & Tools
Skills
- Power BI
- Python
- SQL
- R
- MS Excel (Power Pivot)
- Machine Learning
- Docker
- Data Visualization
Tools & Technologies
- R Studio, RShiny
- VS Code, Jupyter Notebook, Google Colab
- Postgres SQL, MySQL
- Microsoft Office, Google Workspace
- Git, GitHub
Languages
- Fluent in English
- Native in Bengali
- Learning Danish
Projects
Predicting Parking Availability in Aarhus
Technologies: Python, Prophet, Streamlit, API Integration
Built a real-time forecasting system using parking occupancy API data, enabling users to predict parking availability and visualize trends using interactive dashboards.
Case Study: Estimating Mobile Phone Price Ranges
Technologies: R, Decision Tree, ML
Developed a classification model to predict mobile phone price ranges based on technical specifications. The project analyzed feature importance and supported strategic decisions for market positioning.
Predicting Stock Moves from Candlestick Images
Technologies: Python, Deep Learning
Built a convolutional neural network (CNN) to classify candlestick chart images and predict next-day stock price direction. The model was trained from scratch and optimized for accuracy.
Customer Churn Prediction Dashboard
Technologies: Python, Streamlit, XGBoost, SHAP
Developed an interactive dashboard to predict customer churn using an XGBoost model and explain results with SHAP values. Enabled real-time predictions, confidence scores, and business insights based on user-uploaded data.
Certifications
Power BI Fundamentals (19 Hours) – DataCamp
Covered interactive dashboards, DAX, Power Query, and analytical problem solving like customer churn.
View Credential
Publications
Post-COVID Psychological Impact on Social Media Users: A Study on Twitter Users
Authors: Md Rasel Mia, Ahmed Imran Kabir, Abdullah Al Fahad
Published in: Journal of Economic Informatics
Keywords: COVID-19, Post COVID, Mental Health, Sentiment Analysis, NLP, Data Mining
This study explores the psychological impact of the COVID-19 pandemic on Twitter users using sentiment analysis and NLP techniques in Python. The analysis uncovers how mental health concerns evolved during the post-COVID era.
DOI:
10.24818/issn14531305/26.4.2022.04