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Data Analyst with less than a year in SQL, Python & Power BI for business insights.
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Assessing your cultural and operational fit
Final-year Computer Science Engineering student with hands-on experience in SQL, Python, and Power BI. Skilled at collecting, cleaning, and analyzing structured data to uncover actionable business insights. Experienced in building interactive dashboards and translating complex data findings into clear, business-ready recommendations. Detail-oriented, quick to learn, and eager to contribute to data-driven decision-making and process optimization in a professional analytics environment.
Jain University
B.Tech · Computer Science & Engineering
August 1, 2022 – Present
Sales Performance Analysis
June 22, 2026 – Present
Analyzed a 10,000+ record retail sales dataset to surface revenue trends, product performance, and regional gaps. Loaded retail data into MySQL and wrote SQL joins and aggregations across orders, customers, and product tables to calculate total revenue, average order value, and repeat purchase rate. Identified top-selling products, highest revenue months, and underperforming regions through structured analytical queries. Built a Power BI dashboard with KPI cards and bar charts to present findings clearly to a non-technical audience. Insight: 3 product categories contributed to over 60% of total revenue a clear, actionable finding from structured data analysis.
Public Service Request Analysis
June 22, 2026 – Present
Analyzed public service request data to monitor service delivery efficiency and identify resolution bottlenecks. Cleaned dataset covering Request ID, Service Type, Status, Resolution Time, and Location using Python to ensure data accuracy before analysis. Wrote SQL queries using GROUP BY, AVG, and COUNT to identify the most in-demand services and measure average resolution times. Built a Power BI dashboard with total requests KPI, service-wise bar chart, resolved vs. pending pie chart, and a monthly trend line. Insight: Identified top 3 service categories with the longest resolution delays, providing data to support targeted process improvement.
Google Data Analytics Professional Certification
Coursera | Google
June 1, 2026 – Present
Introduction to NoSQL Databases
Coursera | IBM
June 1, 2026 – Present
Modern Data Warehouse Analytics in Microsoft Azure
Coursera | Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects, while limited in number, show a practical application of data analysis skills across different domains (public service and retail sales), indicating versatility. The certifications in Google Data Analytics, Azure, and NoSQL databases suggest a proactive learning attitude and a broad interest in data technologies, which aligns well with a growth-oriented culture. The focus on actionable insights in projects demonstrates a results-driven mindset.
Soft Skills & Operational Fit
The candidate demonstrates a detail-oriented approach and a quick learning ability, as stated in their objective. Their project descriptions indicate an ability to present findings clearly to non-technical audiences, suggesting good communication potential. The academic projects show a structured approach to problem-solving and an eagerness to contribute to data-driven decision-making.