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Data Analyst with 1+ years in SQL, Power BI, and Python, skilled in building data-driven dashboards
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science and Engineering graduate with hands on experience in SQL, Power BI, Python, and Excel. Skilled in working with complex datasets, building end-to-end dashboards, and extracting actionable insights. A fast learner with strong problem-solving skills, eager to grow in a positive and collaborative environment while contributing to data-driven business decisions.
Patuakhali Science and Technology University
Bachelor of Computer Science and Engineering · Computer Science and Engineering
N/A – June 30, 2024
UrbanCart Retail Analytics
June 23, 2026 – Present
Analyzed 1,200+ orders across a 5-table star schema covering revenue, customer behavior, inventory risk, and payment trends utilizing advanced SQL joins, CTEs, aggregations, and window functions. Performed market basket analysis to identify top product bundles and delivered actionable insights on city-level revenue, churn risk, and payment preferences.
View ProjectCoffee Shop Sales Dashboard
June 23, 2026 – Present
Cleaned and transformed sales data to ensure accurate reporting and analysis. Built an interactive dashboard using Pivot Tables and slicers to analyze sales, revenue trends, and product performance. insights
View ProjectAdventure Works Sales Analysis Dashboard
June 23, 2026 – Present
Built an interactive dashboard to analyze revenue, profit, returns, product performance, and customer behavior using KPI tracking and drill-through analysis. Applied data modeling, RFM segmentation, and advanced DAX measures for actionable insights.
View ProjectHackerRank SQL (Basic, Intermediate, Advanced)
HackerRank
June 1, 2026 – Present
IBM SkillsBuild Data Analytics
IBM SkillsBuild
June 1, 2026 – Present
Stock Market Trend Prediction using Multivariate Hybrid Attention-Based BiLSTM with 1D Convolution Model
IEEE Xplore
June 1, 2026 – Present
Achieved 82% on the Data Scientist — Artificial Intelligence test, indicating a solid grasp of the subject matter.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis skills. The diversity of projects (sales analysis, retail analytics, coffee shop sales) shows adaptability to different business contexts. The publication in IEEE Xplore indicates a drive for advanced technical work and contribution. The target role of Data Analyst aligns well with the demonstrated skills and project experience, suggesting a good cultural fit for a data-driven environment.
Soft Skills & Operational Fit
The candidate's summary highlights being a 'fast learner with strong problem-solving skills, eager to grow in a positive and collaborative environment,' which suggests a good operational fit. The psychometric test score of 311/500 indicates average performance in areas like logical reasoning, work attitude, stress handling, and team collaboration, suggesting potential for development in these areas.
Scored 80% on the Application Developer — Microsoft Analytics (Power BI) test, showing strong competency in Power BI.
Strengths
Limitations