Data Scientist and Data Analyst
With 6-8 months of immersive experience in data collection, cleaning, and quality assurance, I am proficient in statistical analysis, hypothesis testing, and data visualization using Matplotlib and Seaborn. My expertise in SQL enables me to perform complex data extraction and manipulation, while my Python skills are honed with libraries such as Pandas, NumPy, and Scikit-Learn.
I excel at developing and implementing machine learning models for predictive analytics, leveraging foundational algorithms like linear regression, decision trees, and clustering techniques. My adeptness in data mining allows me to uncover patterns in large datasets, providing actionable insights that drive business decisions. Additionally, I am proficient in web scraping to gather comprehensive data from diverse sources.
I translate data insights into actionable business strategies, creating interactive dashboards with Tableau and Power BI. My understanding of data ethics and privacy regulations ensures responsible data handling, and my ability to communicate complex data findings effectively to non-technical stakeholders sets me apart.
- Data Analysis and Visualization ✔️
- Machine Learning and Statistical Modeling✔️
- Extract, transform, and load (ETL)
- Python (Pandas, NumPy, Scikit-learn)✔️
- SQL (MySQL, PostgreSQL, MicrosoftSQL)✔️
- Data Cleaning and Preprocessing✔️
- Data Extraction✔️
- Web Scraping✔️
- Competitive Programming✔️
- Effective Presentation and Communication✔️
- Languages: Python, SQL, java, c++, c#✔️
- Libraries/Frameworks: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, plotly, Dash✔️
- Tools: Jupyter Notebook,Excel, VS Code, Git, Power BI, Google looker, IBM Cognos✔️
September 2022 - December 2025
American International University, Bangladesh
Currently pursuing a Bachelor of Science in Computer Science and Engineering (BSc in CSE) at the American International University-Bangladesh (AIUB), focusing on developing skills and knowledge in various areas of computing and engineering. Completed courses important for Data Science such as Database and Statics. Did some project regarding those courses.
Finished May 2024
Completed an intensive data analysis program using Excel, SQL, and Python. Skilled in data visualization, ETL, and interactive dashboards. Executed real-world projects, effectively analyzing and communicating findings.Credentials 1 credentials 2
Here are a few highlighted projects:
-
Pizza Sales Report
This report provides a comprehensive analysis of pizza sales data using Power BI, with data retrieved from an SQL Server.
https://github.com/lut-ful/PIzza-Sales-Report -
Cryptocurrency Analysis using Power BI
This project report details the design and implementation of a cryptocurrency analysis dashboard using Power BI.
https://github.com/lut-ful/Cryptocurrency-Analysis-Using-Power-BI -
Credit Card Financial Report Dashboard
Developed a comprehensive credit card weekly dashboard that provides real-time insights into key performance metrics and trends enabling stakeholders to monitor and analyze credit card operations effectively
https://github.com/lut-ful/Credit-Card-Financial-Report-Dashboard -
IBM Capstone Project: Stack Overflow Job Survey
Analyzed developer trends using Python, SQL, Cognos and looker. Results in PowerPoint and Jupyter Notebook.
https://github.com/lut-ful/IBM-Capstone-Project-Stack-Overflow-Job-Survey -
E-Commerces Sales Report
This dashboard provides a comprehensive visual analysis of e-commerce sales data using Power BI.
https://github.com/lut-ful/E-commerce-sales-Report -
Club Management DBMS Project
The Club Management DBMS project was undertaken to design and implement a database management system that can handle the various administrative tasks associated with running a club.
https://github.com/lut-ful/Club-Management-DBMS
Feel free to explore projects in my repositories!
- Email: [email protected]
- LinkedIn: Md. Lutful Kabir
- Portfolio: Md. Lutful Kabir
Let's connect and discuss data science, analytics, or any interesting projects! Don't hesitate to reach out.
Happy coding! 😊