Mohammad Tauhid Hossain

Data Analyst Intern | SQL | Excel | Power BI | Python

Hello, I am

Mohammad Tauhid Hossain.

1

SQL
Project

About Me

I am Tauhid Hossain, a Computer Science and Engineering student at East West University and a Data Analyst Intern at AtliQ Technologies.

My expertise includes SQL, Excel, Power BI, Python, and Business Analytics. I have experience working on data-driven projects involving supply chain analytics, business reporting, data visualization, and performance analysis.

I am passionate about uncovering actionable insights from data and using analytical techniques to solve real-world business challenges. Through continuous learning and practical project development, I strive to enhance my skills in analytics, visualization, and decision support systems.

I am currently seeking opportunities to contribute to data-focused teams while further developing my expertise in Data Analytics and Business Intelligence.

Key Skills

SQL, MySQL, Excel, Power BI, Python, Pandas, NumPy, Matplotlib, Seaborn, Data Analysis, Data Visualization, Business Analytics, Exploratory Data Analysis (EDA), Dashboard Development, Data Cleaning, Reporting, Problem Solving

My Projects

Supply Chain & Inventory Performance Analytics Using SQL

Domain/Function: Supply Chain Analytics

My Experience

Data Analyst Intern | AtliQ Technologies

As a Data Analyst Intern, I work with data analytics, business intelligence, and reporting tasks to support data-driven decision making. My responsibilities include data cleaning, analysis, visualization, and dashboard development using modern analytics tools.

Key Contributions:

• Performed SQL-based data extraction and analysis.

• Built analytical reports and business dashboards.

• Conducted exploratory data analysis (EDA) to identify trends and business insights.

• Worked with Excel and Power BI for reporting and visualization.

• Utilized Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data analysis.

• Supported business problem-solving through data-driven recommendations.

Tools & Technologies:

Awards & Certificate

Excel: Mother of Business Intelligence

Get Job Ready: Power BI Data Analytics for All Levels 3.0

SQL Beginner to Advanced For Data Professionals

Google Analytics

Data Science & Analytics

Financial Service Learning Plan: Data Analytics

Discover Data Analysis

Introduction to SQL

Introduction to Python

Python 101 for Data Science

Let's Connect

Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.

https://www.linkedin.com/in/mohammad-tauhid-hossain-8a3294372/

GitHub

https://github.com/tauhidhossain8899

SQL Project

Supply Chain & Inventory Performance Analytics Using SQL

Domain/Function: Supply Chain Analytics

Analyzed supply chain inventory data using SQL to identify stock issues, supplier performance, revenue trends, shipping efficiency, and business improvement opportunities.

View Project
on GitHUB

Other Tools

MySQL

Excel

Github

Supply Chain and Inventory Analytics project overview demonstrating business challenges, project objectives, and the use of SQL to generate actionable insights for inventory optimization, supplier management, and logistics improvement.

Business insights generated through SQL analysis, including revenue performance, inventory optimization opportunities, supplier evaluation, and shipping efficiency metrics to support data-driven decision making.

Project Details

This SQL project analyzes supply chain and inventory data to support better business decision-making. The project focuses on identifying low-stock and high-stock products, analyzing revenue by product category, evaluating supplier performance, comparing shipping methods, and understanding logistics efficiency.

I used SQL queries, aggregate functions, CASE statements, subqueries, ranking functions, and business KPIs to convert raw data into meaningful insights. The analysis helps businesses improve inventory planning, reduce stockout risk, monitor supplier quality, and optimize logistics decisions.