I'm an entry-level Data Analyst with hands-on experience in solving real-world problems through data. I specialize in Excel, SQL, Python, and Power BI for ETL, data wrangling, visualization, and statistical analysis. My academic background in Information and Communication Engineering from BUP has given me a strong foundation in analytics, machine learning, and database systems.
I’ve worked on various portfolio projects, including fraud detection logic, customer segmentation, cohort analysis, RFM Segmentation and dashboard design — all focused on driving actionable insights. I'm also experienced in mentoring others as a Power BI Instructor, which helped me build strong communication and analytical thinking skills.
I'm eager to join a data-driven team where I can contribute, grow, and turn complex data into impactful business decisions.
0 + Projects completed
Aspiring Data Analyst with hands-on experience in real-world data projects, including business dashboards, customer segmentation, and fraud detection logic. Skilled in SQL, Python, Power BI, and ETL, statistical analysis. Strong foundation in machine learning concepts, with a passion for transforming data into actionable insights.
CGPA: 3.26 / 4.00
GPA: 5.00 / 5.00
GPA: 5.00 / 5.00
Below are the sample Data Analytics projects on Excel, Power BI, SQL, Python, ML.
Built an end-to-end interactive banking dashboard as group project using synthetic data to simulate real operations. Applied fraud detection, customer segmentation, and KPI analysis to support digital transformation at HSBC Bank Bangladesh.
Created an interactive Power BI dashboard featuring cohort analysis and RFM segmentation to explore sales performance and customer retention trends. Integrated advanced DAX, custom visuals, and dynamic filtering for deep business insights.
Designed an interactive dashboard to analyze hotel revenue, booking trends, and customer ratings. Leveraged advanced DAX, RevPAR/ADR metrics, and drillthrough features to deliver actionable business insights.
Built a Power BI dashboard to analyze customer retention, churn, and revenue trends using cohort modeling. Applied advanced DAX, KPIs, and conditional formatting to uncover actionable insights for customer segmentation and growth.
Conducted a comprehensive analysis of seasonal dengue outbreaks in Dhaka using Excel to identify infection patterns, demographic risk factors, and high-risk age groups. Visualized key trends to support targeted public health interventions.
Executed a detailed SQL-based analysis for TechnoHub, exploring customer spending behavior, sales trends, and inventory control. Applied advanced MySQL techniques like CTEs, joins, subqueries, and window functions. Insights supported revenue growth strategies, stock optimization, and customer retention planning.
Conducted end-to-end SQL analysis on a retail dataset, including data modeling (ERD), sales trend analysis, customer behavior tracking, and campaign effectiveness using window functions, CTEs, and scheduled triggers. Generated business insights on daily revenue, product performance, and buyer patterns, with classification logic (NTILE, CASE) to identify high-value orders and marketing impact.
Analyzed over 300,000 Spotify streaming records to uncover user listening patterns, platform preferences, and artist rankings. Utilized Excel's Power Query, PowerPivot, and Pivot Tables to transform raw data into an interactive dashboard. Key insights include peak streaming times and shuffle play behaviors.
Below are the details to reach out to me!
Dhaka, Bangladesh