I am a passionate Data Analyst with a strong mathematical background and practical experience in transforming business data into actionable insights. Alongside my professional experience in business operations, financial documentation, and reporting within a manufacturing environment, I have built expertise in Microsoft Excel, SQL, Power BI, and Python (Pandas & NumPy) for data cleaning, analysis, visualization, and reporting. Through multiple end-to-end analytics projects across HR, healthcare, hospitality, retail, and sales, I have developed interactive dashboards and analytical solutions that support data-driven decision-making. I am committed to continuous learning and enjoy using data to uncover patterns, solve business challenges, and deliver meaningful insights that drive better decisions.
0 + Projects completed
Manage financial and operational data to support daily manufacturing operations, ensuring data accuracy, regulatory compliance, and efficient reporting through structured documentation and record management.
Data Analyst with entry-level experience driving business strategies through data-driven insights. Proven expertise in data science, statistical analysis, machine learning algorithms and project management.
OSTAD is an online educational platform offering comprehensive courses designed to build essential skills in various domains.
This certification demonstrates proficiency in basic SQL skills, including querying and managing databases.
This HP LIFE course provides an introduction to data-driven decision-making, covering methodologies, tools and best practices used in data science.
This DataQuest course covers fundamental data analysis techniques using Microsoft Excel, focusing on essential skills for handling and interpreting data effectively.
Subject: Mathematics
Grade: First class distinction.
Below are the sample Data Analytics projects on SQL, Power BI, Python, Excel.
Designed a Power BI dashboard for the Hospitality Domain Database to track and analyze the data.
End-to-end PostgreSQL analysis of 1M+ retail sales and warranty records using advanced SQL/window functions for actionable insights.
Advanced PostgreSQL query optimization project analyzing Spotify track metrics, album types, and streaming distributions.
PostgreSQL project analyzing data analyst job market trends: top-paying roles, in-demand skills, and remote career pathways.
Interactive Power BI dashboard analyzing hospital billing, treatment costs, insurance coverage, and departmental performance with DAX-driven KPIs.
Python EDA with Pandas, NumPy, and Matplotlib analyzing historical weather data to uncover insights on visibility, humidity, pressure, and wind speed.
A Power BI dashboard for Credit Card Database to track and analyze the data and providing insights.
Customer Churn Analysis using Python, Pandas, Matplotlib & Seaborn with Exploratory Data Analysis (EDA) to identify customer retention patterns and business insights.
End-to-end Online Retail Sales Analysis using Python, Pandas, NumPy, Matplotlib & Seaborn with data cleaning, feature engineering, exploratory data analysis (EDA), and business insights.
Analyzed pizza sales data using advanced SQL queries to identify gaps and increase business growth.
End-to-end customer shopping behavior analysis using Python, SQL, Power BI, and Gamma to uncover spending patterns, top categories, and purchase drivers.
Interactive Power BI dashboard tracking employee attendance, WFH, and sick leave trends using Power Query and DAX for HR insights.
Premier League dashboard analyzing team performance, goals, and discipline and showcasing 3600+ matches, team stats with Power BI.
Performed exploratory data analysis on e-commerce sales data using Python and SQL to improve the customer experience.
Utilize Power BI and MySQL to analyze and visualize data from Pizza Databases, delivering actionable insights on sales, profitability, and market trends.
To analyze and visualize SuperStore sales data, providing actionable insights on sales, profit, and trends using Power BI.
Created an Excel dashboard to analyze coffee shop sales, tracking monthly trends, hourly order quantities, weekday performance, and top-selling products to optimize business operations.
Analyzed global layoff data using SQL with a focus on data cleaning and exploratory analysis. Uncovered trends by company, industry, country, and time using advanced SQL queries.
A Power BI dashboard that analyzes ER performance, patient trends, and referral patterns. Delivers insights and actions to optimize emergency care.
Developed a Power BI dashboard to analyze sales revenue, market performance, and top customers and products, providing actionable insights to drive business growth.
This Dashboard provides a comprehensive analysis of healthcare wait lists segmented by case type, age group, time band, and specialty. It helps identify bottlenecks and long wait times to support data-driven decision-making in patient care management.
Developed an Excel dashboard to analyze sales revenue, market performance, and top customers and products, providing actionable insights to drive business growth.
Designed a Power BI dashboard to analyze employee attrition, demographic trends, and job role performance, providing insights to improve HR strategies and employee retention.
Built an interactive Excel dashboard to analyze nearly 10,000 ecommerce sales records using data cleaning, Pivot Tables, KPIs, dynamic charts, and slicers for actionable business insights.
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Chattogram, Bangladesh