π Data Analyst | Data Enthusiast | Problem Solver
π Bachelor's in Computer Science & Engineering
π¬ Passionate about data analysis, machine learning, and visualization
π Love working with Power BI, Tableau, and Python to uncover insights
π Currently improving my SQL & data engineering skills
π E-commerce Sales Analysis π
β Cleaned and processed sales data, performing EDA to uncover trends and understand customer buying behavior.
β Built time series forecasting models to predict future sales and improve inventory planning.
β Created insightful visualizations to analyze sales patterns and delivery performance using Matplotlib and Seaborn.
π Tech Stack: Python (Pandas, NumPy, Matplotlib, Seaborn), Time Series Analysis, Jupyter Notebook.
π Dhaka House Rent Prediction π
β Collected, cleaned, and analyzed rental data to identify key factors affecting house rent.
β Developed predictive models (Linear Regression) to estimate rental prices accurately.
β Created a Flask API to serve predictions and make the model accessible.
β Designed and built a responsive web app using Flutter Web, allowing users to check rent predictions effortlessly.
π Tech Stack: Python, Pandas, NumPy, Seaborn, Plotly, Scikit-learn, Flask API, Flutter Web
β Successfully implemented predictive models to forecast Dhaka house rent.
π Check out the live project here: (https://arifhossainrumi.github.io/)
π IBM Python for Data Science
π Microsoft Power BI Data Analyst
π Excel Basics for Data Analysis π
πΈ Fundamentals of Statistics
πΈ Data Structures
πΈ Operating System
πΈ Database Management System
πΈ Data Analysis with Excel
π
π§ Email: arifhossainrumi@gmail.com
π» GitHub: ArifHossainRumi
"I love exploring emerging trends in data analytics and creating beautiful visualizations!"