Data Analyst turning supply chain and operations data into actionable insights through analytics, dashboards, and automation to drive efficient, data-driven decisions.
I'm a Data Analyst with hands-on experience solving real-world problems through data.
I specialize in Excel, SQL, Python, Metabase 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 portfolio projects including fraud detection logic, customer segmentation, cohort analysis, RFM Segmentation and dashboard design. I'm also experienced in mentoring others as a Power BI Instructor.
CGPA: 3.26 / 4.00
GPA: 5.00 / 5.00 ✦
GPA: 5.00 / 5.00 ✦
Data analytics projects spanning Excel, Power BI, SQL, Python & ML.
End-to-end interactive banking dashboard using synthetic data. Applied fraud detection, customer segmentation, and KPI analysis to support digital transformation at HSBC Bank Bangladesh.
Interactive Power BI dashboard featuring cohort analysis and RFM segmentation to explore sales performance and customer retention trends with advanced DAX and dynamic filtering.
Dashboard to analyze hotel revenue, booking trends, and customer ratings. Leveraged advanced DAX, RevPAR/ADR metrics, and drillthrough features for actionable business insights.
Power BI dashboard to analyze customer retention, churn, and revenue trends using cohort modeling with advanced DAX, KPIs, and conditional formatting.
Comprehensive analysis of seasonal dengue outbreaks in Dhaka using Excel to identify infection patterns, demographic risk factors, and high-risk age groups.
SQL-based analysis for TechnoHub exploring customer spending, sales trends, and inventory control using CTEs, joins, subqueries, and window functions.
End-to-end SQL analysis including data modeling (ERD), sales trend analysis, customer behavior tracking, and campaign effectiveness using window functions and CTEs.
Analyzed 300,000+ Spotify streaming records using Excel Power Query, PowerPivot, and Pivot Tables to uncover user listening patterns and peak streaming times.
Fully dynamic BI dashboard using PostgreSQL on Supabase and Metabase with real-time data refresh, SMTP-triggered daily email reports, and SQL-driven analysis.
I'm open to new opportunities, collaborations, or just a good conversation about data. Drop me a message!