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Junior Data Analyst with 1+ years in Power BI & SQL
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Junior Data Analyst with 1.7 years of experience in business analytics, specializing in FMCG and e-commerce domains. Proficient in Power BI, Excel, SQL, and Python for data analysis, visualization, and reporting. Adept at transforming raw data into actionable insights to support strategic decision-making and improve operational efficiency. Committed to delivering accurate and consistent reporting through robust data integrity processes.
Daffodil International University
BSC · Computer Science
August 1, 2018 – June 30, 2022
Jalalabad Metal Limited
Junior Data Analyst
February 1, 2026 – Present
Dhaka, Dhaka Division, Bangladesh
Data Solution 360
Junior Data Analyst
November 1, 2024 – October 1, 2025
Dhaka, Dhaka Division, Bangladesh
Sales & Delivery Performance Analysis
January 1, 2026 – January 1, 2026
This interactive Power BI dashboard to give management a clear picture of business performance using key metrics like total revenue, profit, profit margin, and average delivery time across global markets. Analyzed online and offline sales channels and regional performance to understand where the business is performing well and where profitability is weak. Created delivery-focused visuals to track on-time vs delayed orders, delayed order percentage, and high-priority delays, helping identify operational pain points. Used time-based trends to compare yearly performance, highlight strong and weak periods, and support data-driven business decisions.
View ProjectStudent Exam Performance Analysis
November 1, 2025 – November 1, 2025
Built a Power BI dashboard to help educators monitor 300+ students, making it easy to see at a glance why the pass rate sits at 71%. Created a system to compare first and last attempt scores, showing exactly how students improve or where they get stuck over time. Designed simple, interactive charts that track daily attendance and rank student progress, turning messy data into a clear story. Cleaned and connected over 1,300 exam records using DAX and Power Query to ensure all performance metrics were accurate and easy to follow.
Bank Customer Churn Analysis
October 1, 2025 – October 1, 2025
Built an interactive dashboard to explore why 20.4% of customers are leaving the bank, helping the team focus on retention strategies. Analyzed how personal factors like age and credit scores influence loyalty, identifying that the 51-60 age group has a significantly higher risk of leaving. Visualized customer behavior across France, Germany, and Spain to see how location and active status affect a person's relationship with the bank. Transformed thousands of data points regarding account balances and product usage into clear, visual stories that make it easy to spot at-risk accounts.
View ProjectCustomer Cohort and retention Analysis
August 1, 2025 – August 1, 2025
Developed an interactive cohort analysis dashboard to track weekly and monthly customer retention trends using cohort-based reporting.
View ProjectFMCG Sales & Promotion Analysis Dashboard
July 1, 2025 – July 1, 2025
Developed an interactive dashboard for a retail FMCG chain (Company) to analyze store performance, promotional impact, and category-wise sales. Identified ₹123M revenue from top-performing promotions and uncovered loss of ₹11.7M from underperforming promos 25% off. Delivered actionable insights using DAX, geospatial visuals, and dynamic filters.
Sales Insights
March 1, 2025 – March 1, 2025
Designed a Power BI dashboard to understand the last four years of hardware sales trends. Led the initiative of displaying the sales trend of Company hardware, allowing users to understand the data and make informed decisions. Created a dashboard projected to increase revenue by at least 7% in the next quarter.
View ProjectSales Data Analysis
January 1, 2025 – January 1, 2025
Analyzed sales data using Python to uncover customer purchasing patterns based on gender, product preferences, and average pricing. Performed EDA and created clear visualizations to make the data easier to understand.
Data Analysis E-Commerce Project
January 1, 2025 – January 1, 2025
Conducted data analysis on an e-commerce dataset using Python, performing data cleaning and visualizations to uncover customer behavior and sales trends. Created insightful charts to support company growth strategies and informed decision-making.
P&L Report
December 1, 2024 – December 1, 2024
Generated a comprehensive P&L report for the Company's FY 2022, utilizing advanced features in Excel such as Pivot Tables and DAX to provide granular insights into revenue streams and expense categories. Automated data cleaning using Power Query, saving approximately 4 hours of manual effort. Deployed DAX-based calculation models, resulting in a 30% increase in report accuracy and providing users with more detailed and adaptable insights.
Customer Churn Data EDA Project
December 1, 2024 – December 1, 2024
In this project, I performed exploratory data analysis (EDA) on customer churn data using Python to uncover key trends and patterns. I visualized insights using libraries like Matplotlib and Seaborn to better understand customer behavior and churn factors.
Superstore Sales Analysis
June 1, 2024 – June 1, 2024
Developed an interactive Power BI dashboard to analyze Superstore sales and customer insights. Showcased key metrics, segment trends, and regional performance to support data-driven decisions. Applied data cleaning, visualization, and storytelling techniques for business growth insights.
Microsoft Certified: Power BI Data Analyst Associate
Microsoft Power BI
June 1, 2026 – Present
Microsoft Certified: Fabric Analytics Engineer Associate
Fabric Analytics
June 1, 2026 – Present
Data Analyst Course
Data Solution-360
June 1, 2026 – Present
Get Job Ready: Power Bi Data Analytics For All Levels 3.0
CodeBasics
June 1, 2026 – Present
Excel: Mother of Business Intelligence
CodeBasics
June 1, 2026 – Present
A Convolutional Neural Network For Periwinkle Classification And Recognition In Bangladesh Perspective
Unknown
June 1, 2026 – Present
Generative AI for Educators Certificate
Skillshop By Google
January 1, 2026 – Present
Detection and Classification of Wheat Leaf Diseases Using Deep Convolutional Neural Networks
International Conference on Applied Statistics and Data Science (ICASDS)
January 1, 2025 – Present
GA4
Skillshop By Google
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, covering various industries like e-commerce, FMCG, and banking, indicates adaptability and a broad interest in applying data analysis across different business contexts. Their proactive pursuit of multiple certifications, including Microsoft Power BI and Fabric Analytics, shows a commitment to continuous learning and professional development. The mentorship experience also suggests a willingness to contribute to team growth and knowledge sharing, aligning well with collaborative work environments.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work, particularly in identifying trends and providing actionable insights. Their experience in mentoring junior analysts suggests good communication and collaboration skills. The focus on automating processes and ensuring data integrity indicates an operational mindset geared towards efficiency and accuracy.