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Data Analyst with 3+ years in SQL, Python & Power BI
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Assessing your cultural and operational fit
Data Analyst with 3.6 years of experience translating raw business data into actionable insight, combining strong SQL (PostgreSQL, MySQL, Oracle) and Python/Pandas analysis with advanced Power BI and DAX reporting. Background as a BI Developer building production Qlik Sense/QlikView dashboards for retail and inventory analytics, now extended with hands-on data analysis projects covering exploratory analysis, KPI dashboard design, and statistical correlation analysis. Comfortable working independently across the full analysis lifecycle: extracting and cleaning data, writing complex SQL queries, building DAX measures and time-intelligence calculations, and delivering executive-ready visual reports.
Swami Vivekananda Institute of Modern Science
Bachelor of Computer Application (BCA)
N/A – June 30, 2022
Ginni Systems Limited
BI Developer (Data Analytics & Reporting)
November 1, 2022 – Present
India
Superstore Sales Analysis
June 1, 2026 – June 1, 2026
Analyzed 9,994 retail transactions to identify discount-driven profit loss, isolating Tables sub-category at a 26% average discount versus 14% for Furnishings, directly linked to $17,725 in losses across 1,871 loss-making orders. Performed end-to-end data cleaning, aggregation, and trend analysis using Pandas groupby, merge, and pivot_table operations. Published full analysis and code.
View ProjectRetail Performance Intelligence Report
June 1, 2026 – June 1, 2026
Built a 5-page executive Power BI report covering sales performance, profitability analysis, and strategic recommendations, with cascading regional drill-downs and a sales forecast model. Designed DAX measures including CALCULATE-based loss/profit segmentation and SAMEPERIODLASTYEAR time-intelligence comparisons against a custom date table. Embedded Python statistical visuals (box plot, correlation heatmap) directly in Power BI, identifying a -0.26 correlation between discount level and profit margin across all orders. Published full report and documentation.
View ProjectCultural Fit Analysis
The candidate's project diversity, including personal projects like 'Retail Performance Intelligence Report' and 'Superstore Sales Analysis', alongside professional experience as a BI Developer, indicates a proactive and continuous learning mindset. Their experience aligns well with a Data Analyst role, focusing on data extraction, transformation, analysis, and visualization. The breadth of skills across SQL, Python, and multiple BI tools suggests adaptability and a willingness to engage with various technologies, which is a positive indicator for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through data reconciliation and discrepancy resolution. Their experience in automating reports and leading migration projects suggests initiative and operational efficiency. The ability to translate business requirements into technical solutions (e.g., Product Finder tool) indicates good stakeholder communication and practical application of skills. However, without specific assessment data, soft skills like teamwork, leadership, and stress handling cannot be definitively evaluated.