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Data Analyst with 1+ years in data analytics and AI-driven solutions.
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Data professional with 1+ year of experience across Data Analytics and AI-driven solutions. I specialize in transforming complex datasets into actionable insights and building intelligent systems that enable data-driven decision-making.
Sathyabama Institute, Chennai
B.E. Computer Science Engineering · Computer Science Engineering
August 1, 2020 – June 30, 2024
Analytics Space
Data Analyst
January 1, 2025 – April 1, 2026
Bengaluru, Karnataka, India
End-to-End Retail Performance and Behavioral Analytics
June 21, 2026 – Present
Designed and developed Power BI dashboards and paginated reports for sales KPIs such as return patterns, region-wise outcomes. Performed data modeling in Power BI using DAX and Power Query(M) to optimize reporting performance and ensure accuracy. Performed EDA using Python (Pandas, Matplotlib) to uncover customer trends and validate data. Converted business objectives into meaningful insights, contributing to strategic measures that lifted profits by 12. Strong SQL expertise, including joins, aggregations, and window functions for complex data analysis.
Performance Metrics of Indian Engineering Institutions
June 21, 2026 – Present
Extracted information from 1,000+ colleges using Python (Requests, BeautifulSoup), performed data cleaning and transformation to produce a fully structured, duplicate-free dataset. Analyzed state-level college density, fee variations, and infrastructure indicators - revealing patterns including Bangalore leading national distribution and public institutions achieving ratings 3. Design and implement a variety of visualizations, such as bar charts, line graphs, pie charts, highlight tables, and matrix tables. Develop interactive dashboards with slicers for quick filtering and drill-down capabilities. Presented findings to stakeholders, linking analysis to academic ecosystem.
Cultural Fit Analysis
The candidate's projects show a diverse application of data analysis skills, from retail performance to educational institution metrics. The focus on delivering actionable insights and improving efficiency aligns well with a data-driven organizational culture. The breadth of tools used (SQL, Python, Power BI) indicates adaptability.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work with stakeholders and translate business objectives into insights, indicating good communication and problem-solving skills. The experience in building ETL pipelines and optimizing queries suggests an operational mindset towards data efficiency.