Resume
Rasel Mia
Data Analyst and BI Analyst focused on dashboards, automation, and decision-ready analytics.
Professional Summary
Turning data into decisions with BI, analytics, and automation.
MSc Business Intelligence student targeting Data Analyst and BI Analyst roles in Denmark. I build dashboards, automate reporting, and translate operational data into clear decisions for business teams. Strongest tools are Power BI, Python, SQL, and R, with hands-on project work across customer analytics, forecasting, and explainable machine learning.
Experience
Applying analytics in commerce and academia.
- Built daily Excel and Power BI sales reporting that gave managers one view of orders, stock, and delivery status for faster operational decisions.
- Supported live inventory tracking and customer service handoffs, reducing repeat issues and improving issue resolution across the order flow.
- Standardized fulfillment steps after identifying process gaps, helping the team improve on-time delivery consistency and customer experience.
- Analyzed course performance data to identify where students struggled, giving faculty evidence to adjust teaching focus and lab support.
- Prepared MIS course material, graded assignments, and supported students in data labs, improving delivery consistency across classes.
- Supported faculty research with data collection, cleaning, and statistical reporting for faster project turnaround.
Education
Graduate
MSc in Business IntelligenceAarhus 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 SystemUnited 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.
- Customer Churn Prediction Dashboard — Built a Streamlit app with XGBoost and SHAP that scores churn risk, explains key drivers, and supports retention decisions in one workflow.
- Predicting Stock Moves from Candlestick Images — Trained a CNN from scratch to classify next-day direction from chart images, improving model performance through learning-rate tuning.
- BI Jobs Board — Denmark's Curated BI Job Feed — Automated a daily Python scraping and GitHub Actions pipeline that publishes a filterable static job board for BI roles in Denmark. Try it
- Predicting Parking Availability in Aarhus — Combined API data and forecasting models to predict parking availability and present quick-look insights in an interactive dashboard.
- Estimating Mobile Phone Price Ranges — Built classification models in R to predict price tiers and highlight the features that matter most for product positioning.
Certifications
Power BI Fundamentals (19 Hours) – DataCamp
Covers interactive dashboards, DAX, Power Query, and analytical problem solving like customer churn.
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.
Contact
Let’s connect
Email or drop a note—happy to chat about data, BI, and collaboration. Replies within 24h CET.
Details
- Address: Snogebæksvej, Aarhus V, 8210
- Phone: (+45) 50 65 74 52
- Email: mraselmia.bi@gmail.com