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Entry-level Data Analyst with strong Power BI and SQL skills, passionate about transforming data int
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Assessing your cultural and operational fit
Entry-level Data Analyst focused on Power BI and SQL, with hands-on experience analyzing large datasets and building KPI-driven dashboards for business reporting. Strong in data cleaning, exploratory analysis, and translating complex data into clear, decision-ready insights using Power BI, Excel, and Python. Actively seeking a Data Analyst / Power BI Intern role in a data-driven organization.
Gautam Buddha University, Greater Noida
Bachelor of Computer Applications (BCA)
N/A – June 30, 2024
Gautam Buddha University, Greater Noida
Master of Computer Applications (MCA) · Data Science
N/A – June 30, 2026
E-Commerce Sales Performance Dashboard
June 28, 2026 – Present
Analyzed $11.5M+ sales, $1.34M profit, and 107K orders using DAX-based KPIs and time intelligence. Evaluated product, category, and customer segments to identify top and bottom revenue contributors. Built interactive dashboards with regional, shipping-mode, and state-level insights for decision-making.
Amazon Sales Analysis Dashboard
June 28, 2026 – Present
Designed a Power BI dashboard analyzing product sales, ratings, reviews, and quarterly trends. Identified major revenue drivers including Men's Shoes (43%) and Cameras (23%) across categories. Automated data preparation using Power Query and created dynamic KPIs using DAX.
View ProjectFlood Risk Analysis & Prediction
June 28, 2026 – Present
Analyzed 10,000+ flood records to identify seasonal and regional risk patterns. Built a Random Forest model to support flood risk prediction and feature interpretation. Visualized 34,000+ events and fatalities, identifying July–September as peak-risk months.
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in diverse data analysis applications, from e-commerce sales to flood risk prediction. This breadth of interest, combined with a clear career objective aligned with a Data Analyst role, suggests a good cultural fit for a data-driven organization. The use of GitHub for project portfolios indicates a collaborative and transparent approach to work, which is positive for team environments. However, the lack of professional experience means cultural fit in a corporate setting is largely theoretical at this stage.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to communicate insights effectively and focus on business-driven outcomes, suggesting good problem-solving and stakeholder communication skills. The emphasis on 'Attention to Data Quality' and 'Requirement Understanding' indicates a methodical approach to data analysis. However, without direct work experience, operational fit in a professional team setting is yet to be fully demonstrated.