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Data Analyst with less than a year in SQL, Python, Power BI, and Excel
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst fresher with hands-on experience in SQL, Python, Power BI, and Excel. Skilled in collecting, analyzing, and interpreting data to create reports and dashboards that deliver actionable business insights. Experienced in identifying trends, patterns, and growth opportunities from large datasets. Strong communicator with high attention to detail and data accuracy.
RTMNU University
Bachelor of Computer Application (BCA)
January 1, 2022 – January 1, 2025
Sales Data Analysis & Reporting
June 23, 2026 – Present
Analyzed 10,000+ rows of retail sales data using SQL to identify top products and regional trends across 5 markets, enabling data-driven business decisions. Built Excel dashboard with Pivot Tables and conditional formatting for stakeholder reporting, reducing manual effort by ~40%. Identified 3 underperforming regions contributing only 12% of revenue, delivering targeted recommendations to improve business performance.
Power BI KPI Dashboard
June 23, 2026 – Present
Developed interactive dashboard tracking 6 KPIs (revenue, MoM growth, category performance) using 10+ DAX measures to support decision-making. Implemented drill-through filters and slicers enabling non-technical stakeholders to interpret complex datasets independently. Ensured data accuracy and quality by validating KPI logic and cross-checking metrics against source systems.
Customer Segmentation & Trend Analysis
June 23, 2026 – Present
Collected and cleaned 50,000+ row e-commerce dataset; handled missing values and standardized formats, reducing data errors by 90%. Performed EDA to identify purchasing patterns and growth opportunities; segmented customers into 4 behavioral groups to support strategic decisions. Created visualizations and summary reports to communicate findings and recommendations to business teams.
Data Analyst Course - SQL, Excel, Power BI
Unknown
June 1, 2026 – Present
Python for Data Science Ultimate Job Ready Data Science Course - Code with Harry
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis techniques across various business scenarios (e-commerce, retail sales). The diversity of tools used (Python, SQL, Excel, Power BI, Matplotlib) suggests adaptability and a willingness to acquire new skills. The focus on delivering actionable insights and supporting strategic decisions indicates a results-oriented mindset, which generally aligns well with data-driven organizational cultures.
Soft Skills & Operational Fit
The candidate highlights 'Data Storytelling', 'Report Presentation', 'Cross-team Collaboration', and 'Attention to Accuracy' as soft skills. These are crucial for a Data Analyst role, indicating a good operational fit for communicating insights and working within a team. The project descriptions also reflect these skills, particularly in presenting findings and ensuring data quality.