Resume

Md Rasel Mia

Business Data Analyst | Power BI, Python, R, SQL, ML | Aarhus University — MSc in Business Intelligence

Aarhus, Denmark +45 50 65 74 52 [email protected] github.com/mraselm

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Professional Summary

Turning data into decisions with BI, analytics, and automation.

Business Intelligence MSc student who pairs analytics and storytelling to solve real business problems. Skilled in Power BI, Python, R, SQL, Power Pivot, and dashboarding—translating messy data into clear recommendations, streamlined reports, and automation that teams actually use.

Experience

Applying analytics in commerce and academia.

TV Hut & Electronics Management Trainee Officer 2023 - 2024

Supported e-commerce operations with live inventory tracking and coordinated customer service handoffs to cut repeat issues.
Built digital sales reporting in Excel/Power BI, giving managers daily visibility into orders, stock, and delivery status.
Flagged process gaps and helped standardize fulfillment steps, improving on-time delivery and customer satisfaction.

United International University Teaching & Research Assistant 2022 - 2023

Prepared MIS course material, graded assignments, and supported students with data labs and research guidance.
Analyzed course performance data to highlight where students struggled, informing curriculum tweaks.
Assisted faculty research with data collection, cleaning, and basic statistical reporting.

Education

Graduate

MSc in Business Intelligence
Aarhus University, Denmark | Sep 2024 - Jul 2026

Advanced analytics, predictive modeling, and BI strategy using R, SQL, and Excel. Coursework in machine learning, visualization, and applied projects with real datasets.

Undergraduate

BBA in Management Information System
International University, Bangladesh | May 2018 - Aug 2022

Graduated Magna Cum Laude (CGPA 3.80/4.00). Final research: “Post-COVID Psychological Analysis through NLP.”

Skills & Tools

Core 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

Selected work in analytics and ML.

Predicting Parking Availability in Aarhus — Python, Prophet, Streamlit, and API data to forecast parking supply; built an interactive dashboard for quick lookups.
Estimating Mobile Phone Price Ranges — R and Decision Trees to classify price tiers and surface feature importance for positioning decisions.
Predicting Stock Moves from Candlestick Images — Python CNN classifier to score next-day direction from chart images, with tuned learning rates for accuracy.
Customer Churn Prediction Dashboard — Python, Streamlit, XGBoost, SHAP to score churn risk and explain drivers for retention plays.

Certifications

Power BI Fundamentals (19 Hours) – DataCamp

Covers interactive dashboards, DAX, Power Query, and analytical problem solving like customer churn.

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Publication

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.

DOI: 10.24818/issn14531305/26.4.2022.04

Contact

Let’s connect

Email or drop a note—happy to chat about data, BI, and collaboration.

Details

Address: Snogebæksvej, Aarhus V, 8210
Phone: (+45) 50 65 74 52
Email: [email protected]