Data Analyst with less than a year in data analysis, dashboard development, and business intelligenc
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Analytical and results-driven B.Tech Computer Science graduate (2025) with hands-on experience in data analysis, dashboard development, and business intelligence. Proficient in SQL, Python, Excel, and Power BI for transforming raw data into actionable insights. Strong foundation in data modeling, KPI reporting, and stakeholder communication. Seeking an entry-level Data Analyst or Business Intelligence role.
Graphic Era Hill University
B.Tech · Computer Science Engineering
August 1, 2021 – June 30, 2025
Pizza Sales Performance Analysis
November 1, 2025 – June 1, 2026
Used complex SQL queries to analyze revenue, orders, and product performance. Automated Excel reports, improving efficiency by approximately 40%. Visualized monthly revenue trends and Average Order Value (AOV).
Meta Ad Performance Dashboard
July 1, 2025 – June 1, 2026
Analyzed 216K ad impressions and 25.4K clicks, achieving a CTR of 11.76%, indicating strong ad creatives and targeting effectiveness. Evaluated the full conversion funnel, identifying 1.3K purchases with a 5.21% click-to-conversion rate and a low 0.61% purchase rate, highlighting funnel drop-offs. Built an interactive Power BI dashboard to analyze 29K engagements across demographics, geography, time, and ad formats to drive optimization insights.
View ProjectCultural Fit Analysis
The candidate's projects show a practical application of data analysis skills across different business scenarios (ad performance, sales). Their stated proficiency in stakeholder communication and experience with project management tools suggest a collaborative mindset. The academic background in Computer Science Engineering provides a strong technical foundation relevant to data roles. The breadth of tools and techniques used (SQL, Python, Power BI, Excel, basic ML, AWS S3) indicates a willingness to learn and adapt to various technical requirements.
Soft Skills & Operational Fit
The candidate demonstrates good analytical problem-solving skills, data storytelling, and visualization capabilities. Their experience with Agile methodologies suggests an ability to work within structured project environments. The projects indicate a results-driven approach, focusing on actionable insights and efficiency improvements.