Data Analyst with 3+ years in SQL, Python & Power BI, specializing in sales performance analysis.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Business Analyst fresher with hands-on experience in SQL, Python, Power BI, and Excel — turning raw data into decisions that move the needle. Delivered real-world projects improving sales performance by up to 15% through targeted data insights and interactive dashboards. Sharp analytical mindset with a strong eye for patterns, trends, and business opportunities hidden within data. Ready to transform complex datasets into compelling stories that drive business growth.
JSS Academy of Technical Education
B.Tech. · Electronics and Communication Engineering (ECE)
August 1, 2023 – June 30, 2026
E-Commerce Sales Analysis
January 1, 2023 – June 30, 2026
Analysed customer distribution, order volume, and sales performance using SQL queries and Excel, improving data-driven decision-making efficiency by 15%. Built interactive Power BI dashboards visualising year-over-year growth, customer retention metrics, and regional sales trends for stakeholder reporting. Conducted customer segmentation analysis to identify high-value cohorts, enabling targeted marketing strategies and improving retention insight. Automated data aggregation using Excel Pivot Tables and advanced formulas, reducing manual reporting time significantly.
Pizza Sales Analysis
January 1, 2023 – June 30, 2026
Performed in-depth analysis of a sales dataset using advanced SQL techniques including joins, grouping, and cumulative analysis to uncover revenue trends over time. Identified top-performing pizza categories and customer preferences, directly contributing to targeted promotions that increased sales by 12%. Designed Power BI reports featuring KPI cards, time-series charts, and category breakdowns to present findings clearly to non-technical stakeholders. Applied window functions and subqueries to calculate running totals and rank products by revenue contribution across multiple time periods.
Cultural Fit Analysis
The candidate's participation in hackathons and group projects suggests a collaborative and team-oriented approach, which aligns well with a positive cultural fit. Their adaptability and problem-solving skills are valuable in dynamic work environments. The academic projects are relevant to a Data Analyst role, showing a clear interest and foundational alignment. However, the lack of professional experience and limited diversity in project types (both academic data analysis) might indicate a need for more exposure to different business contexts and team structures.
Soft Skills & Operational Fit
The candidate demonstrates good soft skills, including teamwork, problem-solving, adaptability, and time management, as evidenced by hackathon participation and project descriptions. Their ability to self-learn new tools (React, Tailwind CSS) suggests a proactive approach to skill development. The project descriptions are clear and highlight operational impact, indicating a business-oriented mindset.