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Data Analyst with less than a year in Python, SQL & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Certified Data Analyst with strong foundation in Python, SQL, Power BI, and Excel. Skilled in data cleaning, visualization, and reporting, with hands-on project experience in dashboard creation, ETL workflows, and automation. Seeking to leverage analytical expertise to deliver actionable insights and support business growth.
Board of Intermediate Education
Intermediate
N/A – May 31, 2017
St. Joseph Degree & PG College
B.Sc. Physics · Physics
N/A – June 30, 2020
State Secondary Board
SSC
N/A – May 31, 2015
Sales Dashboard (Power BI)
June 18, 2026 – Present
Designed interactive dashboards to track KPIs and regional sales trends, improving visibility by 20%.
Data Cleaning Automation (Python)
June 18, 2026 – Present
Automated raw dataset cleaning with Pandas, reducing manual effort by 30%.
SQL Reporting
June 18, 2026 – Present
Built queries to extract customer/product insights, enabling leadership to identify growth opportunities.
Accessories Order Analysis (Excel)
June 18, 2026 – Present
Created pivot tables and dashboards to analyse customer orders for accessories, identifying purchase trends and improving reporting efficiency.
Cultural Fit Analysis
The candidate's projects demonstrate a practical, results-oriented approach to data analysis, aligning with roles that require direct business impact. The diversity of tools (Python, SQL, Power BI, Excel) suggests adaptability. However, the lack of explicit team-based projects or collaborative experiences in the resume makes it difficult to fully assess cultural fit beyond technical contributions. The target role of 'Data Analyst' aligns well with the demonstrated technical skills and project experience.
Soft Skills & Operational Fit
The resume highlights achievements in improving reporting accuracy, reducing manual effort, and enhancing data visibility, which suggests a focus on efficiency and impact. The project descriptions indicate an ability to translate technical skills into tangible business outcomes. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.