I am passionate about uncovering insights from data, solving business problems, and visualizing stories through data. My expertise lies in data analysis, statistical modeling, and building impactful dashboards to enable decision-making. I am a detail-oriented Data Analyst with almost two years of experience in transforming raw data into actionable insights. Proficient in statistical data analysis, data visualization, and database management. Experienced in using SQL, Python, and Power BI to drive effective decision-making. Strong background in the RMG sector, able to work cross-functionally, with the capability of developing insightful reports and presentations. Capable of identifying trends and opportunities that optimize performance and ensure better business outcomes.
- π Education: BSs in Computer Science and Engineering
- π± Currently Learning: Google Analytics 4
- π Location: Dhaka, Bangladesh
- π’ Languages: Fluent in English
Data Analysis:
Python | SQL | Excel
Data Visualization:
Power BI | Matplotlib | Seaborn | Google Analytics 4
Databases:
PostgreSQL | MySQL
Others:
Git | Jupyter Notebook | Google Sheets
Here are some of the data analysis projects Iβm proud of:
-
A Comparative Analysis of Amazon Book Ratings using Collaborative Filtering
- Description: Build, train and test K-nearest neighbors, Singular Value Decomposition and Non Matrix Factorization and used EDA process
- Tools: Python, Jupyter Notebook, Pycharm, Scikit-learn
- Repository: https://github.com/HasiburFahim/A-Comparative-Analysis-of-Amazon-Book-Ratings-using-Collaborative-Filtering
-
**Prediction of Compressive Strength of Concrete using GLR SVR and RF **
- Description: Used three regression approach to find the better one in predicting compressive strength of concrete.
- Tools: Python, Pycharm
- Repository: https://github.com/HasiburFahim/Prediction-of-Compressive-Strength-of-Concrete-using-GLR-SVR-and-RF
-
Chikitsa Nin Real Time Web Based Remote Patient Management System using Internet of Things
- Description: A web app for monitoring patients condition from home and connect nearby hospital in a short time.
- Tools: PHP, HTML, CSS, Laravel framework, IoT, VS code
- Repository: https://github.com/HasiburFahim/Chikitsa-Nin-Real-Time-Web-Based-Remote-Patient-Management-System-using-Internet-of-Things
- Python Basics - Coursera (2020)
- Machine Learning Foundations: A Case Study Approach - Coursera (2020)
- Neural Networks and Deep Learning - Coursera (2020)
- Introduction to SQL - Datacamp (2021)
- Exploratory Data Analysis with Seaborn - Coursera (2022)
- Statistical Data Visualization with Seaborn from UST - Coursera (2022)
- Transfer Learning for NLP with TensorFlow Hub - Coursera (2022)
- Tweet Emotion Recognition with TensorFlow - Coursera (2022)
- Getting Started in Google Analytics - Coursera (2022)
- Working with BigQuery - Coursera (2024)
- LinkedIn: https://linkedin.com/in/hasiburfahim08/
- Email: [email protected]