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Data Analyst with less than a year in SQL, Excel, and 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
Aspiring Data Analyst with hands-on experience in SQL, Excel, and Power BI through self-driven dashboard projects. Skilled in cleaning, analyzing, and visualizing data to uncover trends and support business decisions. Seeking an entry-level role as a Data Analyst, Reporting Analyst, or MIS Executive.
Vidhya Sagar Women's College
Bachelor of Commerce (General) · Commerce (General)
August 1, 2022 – June 30, 2025
SRKMV Girls Hr Sec School
HSC
June 1, 2020 – May 31, 2021
E-commerce Sales Dashboard
June 1, 2026 – Present
Built a Power BI dashboard tracking $11.53M YTD sales and 11.58% profit margin across segments, regions, and shipping types, ranking top/bottom 5 products by revenue. Compared YTD vs PYTD sales by category and visualized regional and shipping-type distribution using interactive maps and donut charts. Conclusion: Office Supplies leads sales but is declining YoY (-1.22%), while the West region and Standard Class shipping dominate volume — flagging where to focus retention and trim low-performing products.
Swiggy Sales Analysis Dashboard
June 1, 2026 – Present
Built an interactive Excel dashboard on 197K+ Swiggy orders (₹53.01M sales, 4.34 avg rating) using Pivot Tables, Charts, and Slicers to track sales trends by month, day, state, and city. Broke down sales by food type and top 5 cities (Bengaluru led at ₹5.46M) to compare weekday vs weekend demand patterns. Conclusion: Non-veg orders and weekend demand drive most revenue, with sales concentrated in a few top cities like Bengaluru — useful for regional marketing and restaurant partnership decisions.
HR Analytics Dashboard
June 1, 2026 – Present
Cleaned and modeled 1,470 employee records in SQL, then built a 4-page Power BI dashboard with DAX measures to analyze 16.12% attrition by department, role, gender, age, salary band, and overtime. Studied the link between attrition and job satisfaction, work-life balance, and environment satisfaction scores to support data-driven workforce planning. Conclusion: R&D (133 exits) and low-salary employees (113 exits) show the highest attrition, and overtime workers leave at a higher rate — pointing HR toward targeted retention strategies in these segments.
Data Analytics
Greens Technology
September 1, 2025 – Present
Diploma in Computer Application (DCA)
Unknown
July 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects show a proactive, self-starter attitude, which aligns well with a culture that values initiative. The diversity of projects (e-commerce, food delivery, HR) indicates adaptability and a broad interest in applying data analysis across different domains. The pursuit of certifications further demonstrates a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking and time management through project completion. The project descriptions are clear and concise, indicating good communication skills. The focus on practical, business-oriented analysis suggests a results-driven approach.