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Data Analyst with less than a year in Power BI, SQL & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and analytical Data Analyst with a strong foundation in Power BI, SQL, Excel, and Python. Skilled in data cleaning, data transformation, dashboard development, KPI analysis, and business insight generation. Certified in Data Analytics from EME Academy (2026) with hands-on project experience in sales analytics and e-commerce data analysis. Strong communication and client-handling skills gained through experience in financial and insurance advisory roles.
Maulana Abul Kalam Azad University of Technology
B.Sc. · Medical Laboratory Technology (BMLT)
N/A – June 30, 2026
Zepto E-Commerce SQL Data Analysis
June 24, 2026 – Present
Extracted and analysed structured data using SQL queries Used Joins, Group By, Aggregations, and Filtering to derive insights Identified customer and sales trends to support data-driven decisions
View ProjectSales Data Analysis Dashboard
June 24, 2026 – Present
Built an interactive Power BI dashboard to analyse sales trends, revenue patterns, and KPIs Performed data cleaning and transformation using Power Query Designed visual reports for business decision-making Applied DAX functions for calculated metrics and KPIs
View ProjectData Analytics Certification
EME Academy
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a clear interest in data analysis, covering sales and e-commerce domains. The certification in Data Analytics and stated passion for converting raw data into insights indicate a proactive learning attitude and alignment with data-driven cultures. However, the lack of diverse project types or team-based data analysis experience limits the assessment of broader cultural fit beyond individual contributions. The educational background in Medical Laboratory Technology is not directly related to data analysis, suggesting a career transition.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, communication, and client requirement analysis skills, which are valuable for a Data Analyst role. Their experience as a Mutual Fund Distributor and Health Insurance Agent suggests an ability to interact with clients, understand needs, and present information, which aligns with operational aspects of data analysis requiring stakeholder communication. However, the professional experience is not directly in a data analysis role, so the application of these soft skills in a technical data context needs further validation.