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Data Analyst with less than a year in SQL, Power BI, and Excel, seeking opportunities in data analys
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Highly motivated and results-driven engineering student specializing in Artificial Intelligence and Machine Learning. Proficient in data visualization, database management, and programming, with practical experience in developing data-driven solutions for sales and call center performance. Eager to apply analytical and technical skills to extract actionable insights and support business decision-making.
Vidyavardhaka College of Engineering
Bachelor of Engineering · Artificial Intelligence and Machine Learning
August 1, 2021 – June 30, 2025
Sales Data Analysis - SQL Project
June 20, 2026 – Present
Designed and implemented a relational database schema for a pizza order management system using MySQL. Analyzed customer orders, revenue, and sales trends using SQL joins, aggregate functions, and window functions. Generated actionable insights such as top-selling products and peak sales periods to support business decisions.
Call Center Performance Analytics Dashboard – POWERBI Project
June 20, 2026 – Present
Built an interactive Power BI dashboard to visualize call center KPIs like agent performance, call volume and customer satisfaction, turning raw data into clear, actionable stories for smarter decisions. Analyzed trends and patterns across operational metrics using DAX and Power Query, enabling diagnostic and descriptive insights that drive measurable business outcomes.
Customer Call Center Performance & Insights Dashboard - EXCEL Project
June 20, 2026 – Present
Designed an end to end Excel dashboard analyzing 1,000+ call records across metrics like call volume, call duration, revenue, and customer demographics transforming raw data into a clear, compelling performance story. Built pivot tables and dynamic reports to uncover trends by agent, city, and gender, enabling descriptive and diagnostic insights that support data-driven decisions at scale.
Google Cloud Data Analyst
Google Cloud
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are diverse within the data analysis domain, covering SQL, Power BI, and Excel, which aligns well with a Data Analyst role. The focus on performance analytics and customer insights demonstrates a business-oriented approach. The academic background in AI/ML, combined with a Google Cloud Data Analyst certification, shows a proactive learning attitude and a breadth of interest in modern data technologies. However, the lack of professional experience means cultural fit in a corporate environment is yet to be demonstrated.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate raw data into actionable insights, suggesting good problem-solving and analytical thinking. The focus on customer-centric projects implies an understanding of business impact. However, without psychometric or English test scores, it's difficult to assess communication clarity, work attitude, stress handling, or team collaboration directly. The academic nature of projects means real-world operational fit and collaboration experience are unproven.