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Data Analyst with 1+ years in Power BI, SQL & Excel, experienced in data visualization and analytica
Detail-oriented Data Analyst with strong skills in Power BI, SQL, and Excel, experienced in transforming raw data into actionable insights through data visualization and analytical reporting. Skilled in dashboard development, data analysis, and business intelligence reporting. Passionate about using data-driven insights to support strategic business decisions and improve operational performance.
Vignan University
Master of Computer Applications (MCA)
N/A – June 30, 2025
Adikavi Nannaya University
Bachelor of Business Administration (BBA) · Digital Marketing
N/A – June 30, 2022
Digital Banking Hub – Data Analysis Project
March 1, 2025 – June 1, 2026
Analysed digital banking usage data (10K+ user records) to identify customer engagement trends. Built Power BI dashboards to visualize adoption metrics and user behaviour. Generated insights that helped improve customer engagement by identifying usability gaps.
Digital Promotion of AMUL Products – Marketing Data Analysis
May 1, 2022 – May 1, 2022
Conducted data analysis on digital marketing campaigns and customer engagement metrics. Evaluated the impact of digital promotional strategies on product sales and brand awareness. Analysed secondary data to identify trends in customer behaviour and campaign performance.
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying data analysis to real-world scenarios (digital banking, marketing). The blend of BBA in Digital Marketing and MCA suggests a multidisciplinary approach, which can be beneficial for understanding business contexts. However, the lack of professional experience limits the ability to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate lists analytical thinking, attention to detail, problem-solving, adaptability, team collaboration, and communication skills. These align well with the demands of a Data Analyst role, which requires meticulous data handling and effective presentation of insights. However, these are self-reported and not validated by assessments or professional experience.